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Proteomics
Proteomics directly detects expression of proteins
Proteome research permits the discovery of new protein markers for diagnostic purposes and of novel molecular targets for drug discovery
Proteomics
1 SWISS-2DPAGE database
bull SWISS-2DPAGE is an annotated two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) database established in 1993
bull The SWISS-2DPAGE database is maintained by the Swiss Institute of Bioinformatics in collaboration with the Central Clinical Chemistry Laboratory of the Geneva University Hospital
SWISS-2DPAGE Search Page
View entry in original SWISS-2DPAGE formatEntry name VSP2_ARATHPrimary accession number82122Entered in SWISS-2DPAGE inRelease 13 December 2000Last modified in Release 14 October 2001Name and origin of the protein DescriptionVegetative storage protein 2Gene name(s)VSP2 OR AT5G24770 From Arabidopsis thaliana (Mouse-ear
cress) [TaxID 3702]TaxonomyEukaryota Viridiplantae Streptophyta Embryophyta Tracheophyta
Spermatophyta Magnoliophyta eudicotyledons core eudicots Rosidae eurosids II Brassicales Brassicaceae Arabidopsis
References[1] MAPPING ON GEL Sarazin B Tonella L Marques K Paesano S Chane-Favre L Sanchez J-C Hochstrasser DF Thiellement H Submitted (OCT-2000) to the SWISS-2DPAGE database
2D PAGE maps for identified proteins Compute the theoretical pIMwHow to interpret a protein map
Arabidopsis thaliana MAP LOCATIONS SPOT 2D-001KKV pI=647 Mw=29849 the clicked spot
MAPPING MASS SPECTROMETRY [1]
Mass spectrometry (MS)
2 PeptIdent
bull PeptIdent is a tool that allows the identification of proteins using pI MW and peptide mass fingerprinting data Experimentally measured user-specified peptide masses are compared with the theoretical peptides calculated for all proteins in the SWISS-PROTTrEMBL databases
3 Mascot
bull Mascot is a powerful search engine that uses mass spectrometry data to identify proteins from primary sequence databases
bull Concise Protein Summary Reportbull Switch to full Protein Summary Report bull To create a bookmark for this report right click this link Concise Summary Report
(data20020713FATeiicdat)
bull P82691 Mass 1011 Total score 25 Peptides matched 1 Pyrokinin-1 (Pea-PK-1) (FXPRL-amide)
bull P82041 Mass 1736 Total score 24 Peptides matched 1 Uperin 34 1 3
bull P36396 Mass 2069 Total score 23 Peptides matched 1 Sex-determining region Y protein (Testis-determining factor) (Fragment)
4 FindMod
bull This tool examines peptide mass fingerprinting data for mass differences between empirical and theoretical peptides Where mass differences correspond to a post-translational modification (PTM)
Post-translational modification
s Mass values used in FindMod
bull Modifications Abbreviation MonoisotopicAverage __
bull Acetylation ACET 420106 420373bull Amidation AMID -09840 -09847bull Beta-methylthiolation BMTH 459877118 4608688bull Biotin BIOT 2260776 2262934bull Carbamylation CAM 4300581 4302502bull Citrullination CITR 09840276 098476bull C-Mannosylation CMAN 162052823 1621424bull Deamidation DEAM 09840 09847bull N-acyl diglyceridebull cysteine (tripalmitate) DIAC 7887258 7893202bull Dimethylation DIMETH 280314 280538bull FAD FAD 7831415 783542bull Farnesylation FARN 2041878 2043556bull Formylation FORM 279949 280104bull Geranyl-geranyl GERA 2722504 2724741bull Gamma-carboxyglutamic acid GGLU 4398983
440098bull O-GlcNAc GLCN 2030794 2031950bull Glucosylation (Glycation) GLUC 1620528 1621424bull Hydroxylation HYDR 159949 159994bull Lipoyl LIPY 188033 1883027bull Methylation METH 140157 140269bull Myristoylation MYRI 2101984 2103598bull Palmitoylation PALM 2382297 2384136bull Phosphorylation PHOS 799663 799799bull Pyridoxal phosphate PLP 229014 229129bull Phosphopantetheine PPAN 339078 3393234bull Pyrrolidone carboxylic acidPYRR -170266 -170306bull Sulfation SULF 799568 800642bull Trimethylation TRIMETH 420471 420807
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Proteomics directly detects expression of proteins
Proteome research permits the discovery of new protein markers for diagnostic purposes and of novel molecular targets for drug discovery
Proteomics
1 SWISS-2DPAGE database
bull SWISS-2DPAGE is an annotated two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) database established in 1993
bull The SWISS-2DPAGE database is maintained by the Swiss Institute of Bioinformatics in collaboration with the Central Clinical Chemistry Laboratory of the Geneva University Hospital
SWISS-2DPAGE Search Page
View entry in original SWISS-2DPAGE formatEntry name VSP2_ARATHPrimary accession number82122Entered in SWISS-2DPAGE inRelease 13 December 2000Last modified in Release 14 October 2001Name and origin of the protein DescriptionVegetative storage protein 2Gene name(s)VSP2 OR AT5G24770 From Arabidopsis thaliana (Mouse-ear
cress) [TaxID 3702]TaxonomyEukaryota Viridiplantae Streptophyta Embryophyta Tracheophyta
Spermatophyta Magnoliophyta eudicotyledons core eudicots Rosidae eurosids II Brassicales Brassicaceae Arabidopsis
References[1] MAPPING ON GEL Sarazin B Tonella L Marques K Paesano S Chane-Favre L Sanchez J-C Hochstrasser DF Thiellement H Submitted (OCT-2000) to the SWISS-2DPAGE database
2D PAGE maps for identified proteins Compute the theoretical pIMwHow to interpret a protein map
Arabidopsis thaliana MAP LOCATIONS SPOT 2D-001KKV pI=647 Mw=29849 the clicked spot
MAPPING MASS SPECTROMETRY [1]
Mass spectrometry (MS)
2 PeptIdent
bull PeptIdent is a tool that allows the identification of proteins using pI MW and peptide mass fingerprinting data Experimentally measured user-specified peptide masses are compared with the theoretical peptides calculated for all proteins in the SWISS-PROTTrEMBL databases
3 Mascot
bull Mascot is a powerful search engine that uses mass spectrometry data to identify proteins from primary sequence databases
bull Concise Protein Summary Reportbull Switch to full Protein Summary Report bull To create a bookmark for this report right click this link Concise Summary Report
(data20020713FATeiicdat)
bull P82691 Mass 1011 Total score 25 Peptides matched 1 Pyrokinin-1 (Pea-PK-1) (FXPRL-amide)
bull P82041 Mass 1736 Total score 24 Peptides matched 1 Uperin 34 1 3
bull P36396 Mass 2069 Total score 23 Peptides matched 1 Sex-determining region Y protein (Testis-determining factor) (Fragment)
4 FindMod
bull This tool examines peptide mass fingerprinting data for mass differences between empirical and theoretical peptides Where mass differences correspond to a post-translational modification (PTM)
Post-translational modification
s Mass values used in FindMod
bull Modifications Abbreviation MonoisotopicAverage __
bull Acetylation ACET 420106 420373bull Amidation AMID -09840 -09847bull Beta-methylthiolation BMTH 459877118 4608688bull Biotin BIOT 2260776 2262934bull Carbamylation CAM 4300581 4302502bull Citrullination CITR 09840276 098476bull C-Mannosylation CMAN 162052823 1621424bull Deamidation DEAM 09840 09847bull N-acyl diglyceridebull cysteine (tripalmitate) DIAC 7887258 7893202bull Dimethylation DIMETH 280314 280538bull FAD FAD 7831415 783542bull Farnesylation FARN 2041878 2043556bull Formylation FORM 279949 280104bull Geranyl-geranyl GERA 2722504 2724741bull Gamma-carboxyglutamic acid GGLU 4398983
440098bull O-GlcNAc GLCN 2030794 2031950bull Glucosylation (Glycation) GLUC 1620528 1621424bull Hydroxylation HYDR 159949 159994bull Lipoyl LIPY 188033 1883027bull Methylation METH 140157 140269bull Myristoylation MYRI 2101984 2103598bull Palmitoylation PALM 2382297 2384136bull Phosphorylation PHOS 799663 799799bull Pyridoxal phosphate PLP 229014 229129bull Phosphopantetheine PPAN 339078 3393234bull Pyrrolidone carboxylic acidPYRR -170266 -170306bull Sulfation SULF 799568 800642bull Trimethylation TRIMETH 420471 420807
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
1 SWISS-2DPAGE database
bull SWISS-2DPAGE is an annotated two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) database established in 1993
bull The SWISS-2DPAGE database is maintained by the Swiss Institute of Bioinformatics in collaboration with the Central Clinical Chemistry Laboratory of the Geneva University Hospital
SWISS-2DPAGE Search Page
View entry in original SWISS-2DPAGE formatEntry name VSP2_ARATHPrimary accession number82122Entered in SWISS-2DPAGE inRelease 13 December 2000Last modified in Release 14 October 2001Name and origin of the protein DescriptionVegetative storage protein 2Gene name(s)VSP2 OR AT5G24770 From Arabidopsis thaliana (Mouse-ear
cress) [TaxID 3702]TaxonomyEukaryota Viridiplantae Streptophyta Embryophyta Tracheophyta
Spermatophyta Magnoliophyta eudicotyledons core eudicots Rosidae eurosids II Brassicales Brassicaceae Arabidopsis
References[1] MAPPING ON GEL Sarazin B Tonella L Marques K Paesano S Chane-Favre L Sanchez J-C Hochstrasser DF Thiellement H Submitted (OCT-2000) to the SWISS-2DPAGE database
2D PAGE maps for identified proteins Compute the theoretical pIMwHow to interpret a protein map
Arabidopsis thaliana MAP LOCATIONS SPOT 2D-001KKV pI=647 Mw=29849 the clicked spot
MAPPING MASS SPECTROMETRY [1]
Mass spectrometry (MS)
2 PeptIdent
bull PeptIdent is a tool that allows the identification of proteins using pI MW and peptide mass fingerprinting data Experimentally measured user-specified peptide masses are compared with the theoretical peptides calculated for all proteins in the SWISS-PROTTrEMBL databases
3 Mascot
bull Mascot is a powerful search engine that uses mass spectrometry data to identify proteins from primary sequence databases
bull Concise Protein Summary Reportbull Switch to full Protein Summary Report bull To create a bookmark for this report right click this link Concise Summary Report
(data20020713FATeiicdat)
bull P82691 Mass 1011 Total score 25 Peptides matched 1 Pyrokinin-1 (Pea-PK-1) (FXPRL-amide)
bull P82041 Mass 1736 Total score 24 Peptides matched 1 Uperin 34 1 3
bull P36396 Mass 2069 Total score 23 Peptides matched 1 Sex-determining region Y protein (Testis-determining factor) (Fragment)
4 FindMod
bull This tool examines peptide mass fingerprinting data for mass differences between empirical and theoretical peptides Where mass differences correspond to a post-translational modification (PTM)
Post-translational modification
s Mass values used in FindMod
bull Modifications Abbreviation MonoisotopicAverage __
bull Acetylation ACET 420106 420373bull Amidation AMID -09840 -09847bull Beta-methylthiolation BMTH 459877118 4608688bull Biotin BIOT 2260776 2262934bull Carbamylation CAM 4300581 4302502bull Citrullination CITR 09840276 098476bull C-Mannosylation CMAN 162052823 1621424bull Deamidation DEAM 09840 09847bull N-acyl diglyceridebull cysteine (tripalmitate) DIAC 7887258 7893202bull Dimethylation DIMETH 280314 280538bull FAD FAD 7831415 783542bull Farnesylation FARN 2041878 2043556bull Formylation FORM 279949 280104bull Geranyl-geranyl GERA 2722504 2724741bull Gamma-carboxyglutamic acid GGLU 4398983
440098bull O-GlcNAc GLCN 2030794 2031950bull Glucosylation (Glycation) GLUC 1620528 1621424bull Hydroxylation HYDR 159949 159994bull Lipoyl LIPY 188033 1883027bull Methylation METH 140157 140269bull Myristoylation MYRI 2101984 2103598bull Palmitoylation PALM 2382297 2384136bull Phosphorylation PHOS 799663 799799bull Pyridoxal phosphate PLP 229014 229129bull Phosphopantetheine PPAN 339078 3393234bull Pyrrolidone carboxylic acidPYRR -170266 -170306bull Sulfation SULF 799568 800642bull Trimethylation TRIMETH 420471 420807
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
SWISS-2DPAGE Search Page
View entry in original SWISS-2DPAGE formatEntry name VSP2_ARATHPrimary accession number82122Entered in SWISS-2DPAGE inRelease 13 December 2000Last modified in Release 14 October 2001Name and origin of the protein DescriptionVegetative storage protein 2Gene name(s)VSP2 OR AT5G24770 From Arabidopsis thaliana (Mouse-ear
cress) [TaxID 3702]TaxonomyEukaryota Viridiplantae Streptophyta Embryophyta Tracheophyta
Spermatophyta Magnoliophyta eudicotyledons core eudicots Rosidae eurosids II Brassicales Brassicaceae Arabidopsis
References[1] MAPPING ON GEL Sarazin B Tonella L Marques K Paesano S Chane-Favre L Sanchez J-C Hochstrasser DF Thiellement H Submitted (OCT-2000) to the SWISS-2DPAGE database
2D PAGE maps for identified proteins Compute the theoretical pIMwHow to interpret a protein map
Arabidopsis thaliana MAP LOCATIONS SPOT 2D-001KKV pI=647 Mw=29849 the clicked spot
MAPPING MASS SPECTROMETRY [1]
Mass spectrometry (MS)
2 PeptIdent
bull PeptIdent is a tool that allows the identification of proteins using pI MW and peptide mass fingerprinting data Experimentally measured user-specified peptide masses are compared with the theoretical peptides calculated for all proteins in the SWISS-PROTTrEMBL databases
3 Mascot
bull Mascot is a powerful search engine that uses mass spectrometry data to identify proteins from primary sequence databases
bull Concise Protein Summary Reportbull Switch to full Protein Summary Report bull To create a bookmark for this report right click this link Concise Summary Report
(data20020713FATeiicdat)
bull P82691 Mass 1011 Total score 25 Peptides matched 1 Pyrokinin-1 (Pea-PK-1) (FXPRL-amide)
bull P82041 Mass 1736 Total score 24 Peptides matched 1 Uperin 34 1 3
bull P36396 Mass 2069 Total score 23 Peptides matched 1 Sex-determining region Y protein (Testis-determining factor) (Fragment)
4 FindMod
bull This tool examines peptide mass fingerprinting data for mass differences between empirical and theoretical peptides Where mass differences correspond to a post-translational modification (PTM)
Post-translational modification
s Mass values used in FindMod
bull Modifications Abbreviation MonoisotopicAverage __
bull Acetylation ACET 420106 420373bull Amidation AMID -09840 -09847bull Beta-methylthiolation BMTH 459877118 4608688bull Biotin BIOT 2260776 2262934bull Carbamylation CAM 4300581 4302502bull Citrullination CITR 09840276 098476bull C-Mannosylation CMAN 162052823 1621424bull Deamidation DEAM 09840 09847bull N-acyl diglyceridebull cysteine (tripalmitate) DIAC 7887258 7893202bull Dimethylation DIMETH 280314 280538bull FAD FAD 7831415 783542bull Farnesylation FARN 2041878 2043556bull Formylation FORM 279949 280104bull Geranyl-geranyl GERA 2722504 2724741bull Gamma-carboxyglutamic acid GGLU 4398983
440098bull O-GlcNAc GLCN 2030794 2031950bull Glucosylation (Glycation) GLUC 1620528 1621424bull Hydroxylation HYDR 159949 159994bull Lipoyl LIPY 188033 1883027bull Methylation METH 140157 140269bull Myristoylation MYRI 2101984 2103598bull Palmitoylation PALM 2382297 2384136bull Phosphorylation PHOS 799663 799799bull Pyridoxal phosphate PLP 229014 229129bull Phosphopantetheine PPAN 339078 3393234bull Pyrrolidone carboxylic acidPYRR -170266 -170306bull Sulfation SULF 799568 800642bull Trimethylation TRIMETH 420471 420807
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
View entry in original SWISS-2DPAGE formatEntry name VSP2_ARATHPrimary accession number82122Entered in SWISS-2DPAGE inRelease 13 December 2000Last modified in Release 14 October 2001Name and origin of the protein DescriptionVegetative storage protein 2Gene name(s)VSP2 OR AT5G24770 From Arabidopsis thaliana (Mouse-ear
cress) [TaxID 3702]TaxonomyEukaryota Viridiplantae Streptophyta Embryophyta Tracheophyta
Spermatophyta Magnoliophyta eudicotyledons core eudicots Rosidae eurosids II Brassicales Brassicaceae Arabidopsis
References[1] MAPPING ON GEL Sarazin B Tonella L Marques K Paesano S Chane-Favre L Sanchez J-C Hochstrasser DF Thiellement H Submitted (OCT-2000) to the SWISS-2DPAGE database
2D PAGE maps for identified proteins Compute the theoretical pIMwHow to interpret a protein map
Arabidopsis thaliana MAP LOCATIONS SPOT 2D-001KKV pI=647 Mw=29849 the clicked spot
MAPPING MASS SPECTROMETRY [1]
Mass spectrometry (MS)
2 PeptIdent
bull PeptIdent is a tool that allows the identification of proteins using pI MW and peptide mass fingerprinting data Experimentally measured user-specified peptide masses are compared with the theoretical peptides calculated for all proteins in the SWISS-PROTTrEMBL databases
3 Mascot
bull Mascot is a powerful search engine that uses mass spectrometry data to identify proteins from primary sequence databases
bull Concise Protein Summary Reportbull Switch to full Protein Summary Report bull To create a bookmark for this report right click this link Concise Summary Report
(data20020713FATeiicdat)
bull P82691 Mass 1011 Total score 25 Peptides matched 1 Pyrokinin-1 (Pea-PK-1) (FXPRL-amide)
bull P82041 Mass 1736 Total score 24 Peptides matched 1 Uperin 34 1 3
bull P36396 Mass 2069 Total score 23 Peptides matched 1 Sex-determining region Y protein (Testis-determining factor) (Fragment)
4 FindMod
bull This tool examines peptide mass fingerprinting data for mass differences between empirical and theoretical peptides Where mass differences correspond to a post-translational modification (PTM)
Post-translational modification
s Mass values used in FindMod
bull Modifications Abbreviation MonoisotopicAverage __
bull Acetylation ACET 420106 420373bull Amidation AMID -09840 -09847bull Beta-methylthiolation BMTH 459877118 4608688bull Biotin BIOT 2260776 2262934bull Carbamylation CAM 4300581 4302502bull Citrullination CITR 09840276 098476bull C-Mannosylation CMAN 162052823 1621424bull Deamidation DEAM 09840 09847bull N-acyl diglyceridebull cysteine (tripalmitate) DIAC 7887258 7893202bull Dimethylation DIMETH 280314 280538bull FAD FAD 7831415 783542bull Farnesylation FARN 2041878 2043556bull Formylation FORM 279949 280104bull Geranyl-geranyl GERA 2722504 2724741bull Gamma-carboxyglutamic acid GGLU 4398983
440098bull O-GlcNAc GLCN 2030794 2031950bull Glucosylation (Glycation) GLUC 1620528 1621424bull Hydroxylation HYDR 159949 159994bull Lipoyl LIPY 188033 1883027bull Methylation METH 140157 140269bull Myristoylation MYRI 2101984 2103598bull Palmitoylation PALM 2382297 2384136bull Phosphorylation PHOS 799663 799799bull Pyridoxal phosphate PLP 229014 229129bull Phosphopantetheine PPAN 339078 3393234bull Pyrrolidone carboxylic acidPYRR -170266 -170306bull Sulfation SULF 799568 800642bull Trimethylation TRIMETH 420471 420807
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Mass spectrometry (MS)
2 PeptIdent
bull PeptIdent is a tool that allows the identification of proteins using pI MW and peptide mass fingerprinting data Experimentally measured user-specified peptide masses are compared with the theoretical peptides calculated for all proteins in the SWISS-PROTTrEMBL databases
3 Mascot
bull Mascot is a powerful search engine that uses mass spectrometry data to identify proteins from primary sequence databases
bull Concise Protein Summary Reportbull Switch to full Protein Summary Report bull To create a bookmark for this report right click this link Concise Summary Report
(data20020713FATeiicdat)
bull P82691 Mass 1011 Total score 25 Peptides matched 1 Pyrokinin-1 (Pea-PK-1) (FXPRL-amide)
bull P82041 Mass 1736 Total score 24 Peptides matched 1 Uperin 34 1 3
bull P36396 Mass 2069 Total score 23 Peptides matched 1 Sex-determining region Y protein (Testis-determining factor) (Fragment)
4 FindMod
bull This tool examines peptide mass fingerprinting data for mass differences between empirical and theoretical peptides Where mass differences correspond to a post-translational modification (PTM)
Post-translational modification
s Mass values used in FindMod
bull Modifications Abbreviation MonoisotopicAverage __
bull Acetylation ACET 420106 420373bull Amidation AMID -09840 -09847bull Beta-methylthiolation BMTH 459877118 4608688bull Biotin BIOT 2260776 2262934bull Carbamylation CAM 4300581 4302502bull Citrullination CITR 09840276 098476bull C-Mannosylation CMAN 162052823 1621424bull Deamidation DEAM 09840 09847bull N-acyl diglyceridebull cysteine (tripalmitate) DIAC 7887258 7893202bull Dimethylation DIMETH 280314 280538bull FAD FAD 7831415 783542bull Farnesylation FARN 2041878 2043556bull Formylation FORM 279949 280104bull Geranyl-geranyl GERA 2722504 2724741bull Gamma-carboxyglutamic acid GGLU 4398983
440098bull O-GlcNAc GLCN 2030794 2031950bull Glucosylation (Glycation) GLUC 1620528 1621424bull Hydroxylation HYDR 159949 159994bull Lipoyl LIPY 188033 1883027bull Methylation METH 140157 140269bull Myristoylation MYRI 2101984 2103598bull Palmitoylation PALM 2382297 2384136bull Phosphorylation PHOS 799663 799799bull Pyridoxal phosphate PLP 229014 229129bull Phosphopantetheine PPAN 339078 3393234bull Pyrrolidone carboxylic acidPYRR -170266 -170306bull Sulfation SULF 799568 800642bull Trimethylation TRIMETH 420471 420807
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
2 PeptIdent
bull PeptIdent is a tool that allows the identification of proteins using pI MW and peptide mass fingerprinting data Experimentally measured user-specified peptide masses are compared with the theoretical peptides calculated for all proteins in the SWISS-PROTTrEMBL databases
3 Mascot
bull Mascot is a powerful search engine that uses mass spectrometry data to identify proteins from primary sequence databases
bull Concise Protein Summary Reportbull Switch to full Protein Summary Report bull To create a bookmark for this report right click this link Concise Summary Report
(data20020713FATeiicdat)
bull P82691 Mass 1011 Total score 25 Peptides matched 1 Pyrokinin-1 (Pea-PK-1) (FXPRL-amide)
bull P82041 Mass 1736 Total score 24 Peptides matched 1 Uperin 34 1 3
bull P36396 Mass 2069 Total score 23 Peptides matched 1 Sex-determining region Y protein (Testis-determining factor) (Fragment)
4 FindMod
bull This tool examines peptide mass fingerprinting data for mass differences between empirical and theoretical peptides Where mass differences correspond to a post-translational modification (PTM)
Post-translational modification
s Mass values used in FindMod
bull Modifications Abbreviation MonoisotopicAverage __
bull Acetylation ACET 420106 420373bull Amidation AMID -09840 -09847bull Beta-methylthiolation BMTH 459877118 4608688bull Biotin BIOT 2260776 2262934bull Carbamylation CAM 4300581 4302502bull Citrullination CITR 09840276 098476bull C-Mannosylation CMAN 162052823 1621424bull Deamidation DEAM 09840 09847bull N-acyl diglyceridebull cysteine (tripalmitate) DIAC 7887258 7893202bull Dimethylation DIMETH 280314 280538bull FAD FAD 7831415 783542bull Farnesylation FARN 2041878 2043556bull Formylation FORM 279949 280104bull Geranyl-geranyl GERA 2722504 2724741bull Gamma-carboxyglutamic acid GGLU 4398983
440098bull O-GlcNAc GLCN 2030794 2031950bull Glucosylation (Glycation) GLUC 1620528 1621424bull Hydroxylation HYDR 159949 159994bull Lipoyl LIPY 188033 1883027bull Methylation METH 140157 140269bull Myristoylation MYRI 2101984 2103598bull Palmitoylation PALM 2382297 2384136bull Phosphorylation PHOS 799663 799799bull Pyridoxal phosphate PLP 229014 229129bull Phosphopantetheine PPAN 339078 3393234bull Pyrrolidone carboxylic acidPYRR -170266 -170306bull Sulfation SULF 799568 800642bull Trimethylation TRIMETH 420471 420807
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
3 Mascot
bull Mascot is a powerful search engine that uses mass spectrometry data to identify proteins from primary sequence databases
bull Concise Protein Summary Reportbull Switch to full Protein Summary Report bull To create a bookmark for this report right click this link Concise Summary Report
(data20020713FATeiicdat)
bull P82691 Mass 1011 Total score 25 Peptides matched 1 Pyrokinin-1 (Pea-PK-1) (FXPRL-amide)
bull P82041 Mass 1736 Total score 24 Peptides matched 1 Uperin 34 1 3
bull P36396 Mass 2069 Total score 23 Peptides matched 1 Sex-determining region Y protein (Testis-determining factor) (Fragment)
4 FindMod
bull This tool examines peptide mass fingerprinting data for mass differences between empirical and theoretical peptides Where mass differences correspond to a post-translational modification (PTM)
Post-translational modification
s Mass values used in FindMod
bull Modifications Abbreviation MonoisotopicAverage __
bull Acetylation ACET 420106 420373bull Amidation AMID -09840 -09847bull Beta-methylthiolation BMTH 459877118 4608688bull Biotin BIOT 2260776 2262934bull Carbamylation CAM 4300581 4302502bull Citrullination CITR 09840276 098476bull C-Mannosylation CMAN 162052823 1621424bull Deamidation DEAM 09840 09847bull N-acyl diglyceridebull cysteine (tripalmitate) DIAC 7887258 7893202bull Dimethylation DIMETH 280314 280538bull FAD FAD 7831415 783542bull Farnesylation FARN 2041878 2043556bull Formylation FORM 279949 280104bull Geranyl-geranyl GERA 2722504 2724741bull Gamma-carboxyglutamic acid GGLU 4398983
440098bull O-GlcNAc GLCN 2030794 2031950bull Glucosylation (Glycation) GLUC 1620528 1621424bull Hydroxylation HYDR 159949 159994bull Lipoyl LIPY 188033 1883027bull Methylation METH 140157 140269bull Myristoylation MYRI 2101984 2103598bull Palmitoylation PALM 2382297 2384136bull Phosphorylation PHOS 799663 799799bull Pyridoxal phosphate PLP 229014 229129bull Phosphopantetheine PPAN 339078 3393234bull Pyrrolidone carboxylic acidPYRR -170266 -170306bull Sulfation SULF 799568 800642bull Trimethylation TRIMETH 420471 420807
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
bull Concise Protein Summary Reportbull Switch to full Protein Summary Report bull To create a bookmark for this report right click this link Concise Summary Report
(data20020713FATeiicdat)
bull P82691 Mass 1011 Total score 25 Peptides matched 1 Pyrokinin-1 (Pea-PK-1) (FXPRL-amide)
bull P82041 Mass 1736 Total score 24 Peptides matched 1 Uperin 34 1 3
bull P36396 Mass 2069 Total score 23 Peptides matched 1 Sex-determining region Y protein (Testis-determining factor) (Fragment)
4 FindMod
bull This tool examines peptide mass fingerprinting data for mass differences between empirical and theoretical peptides Where mass differences correspond to a post-translational modification (PTM)
Post-translational modification
s Mass values used in FindMod
bull Modifications Abbreviation MonoisotopicAverage __
bull Acetylation ACET 420106 420373bull Amidation AMID -09840 -09847bull Beta-methylthiolation BMTH 459877118 4608688bull Biotin BIOT 2260776 2262934bull Carbamylation CAM 4300581 4302502bull Citrullination CITR 09840276 098476bull C-Mannosylation CMAN 162052823 1621424bull Deamidation DEAM 09840 09847bull N-acyl diglyceridebull cysteine (tripalmitate) DIAC 7887258 7893202bull Dimethylation DIMETH 280314 280538bull FAD FAD 7831415 783542bull Farnesylation FARN 2041878 2043556bull Formylation FORM 279949 280104bull Geranyl-geranyl GERA 2722504 2724741bull Gamma-carboxyglutamic acid GGLU 4398983
440098bull O-GlcNAc GLCN 2030794 2031950bull Glucosylation (Glycation) GLUC 1620528 1621424bull Hydroxylation HYDR 159949 159994bull Lipoyl LIPY 188033 1883027bull Methylation METH 140157 140269bull Myristoylation MYRI 2101984 2103598bull Palmitoylation PALM 2382297 2384136bull Phosphorylation PHOS 799663 799799bull Pyridoxal phosphate PLP 229014 229129bull Phosphopantetheine PPAN 339078 3393234bull Pyrrolidone carboxylic acidPYRR -170266 -170306bull Sulfation SULF 799568 800642bull Trimethylation TRIMETH 420471 420807
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
4 FindMod
bull This tool examines peptide mass fingerprinting data for mass differences between empirical and theoretical peptides Where mass differences correspond to a post-translational modification (PTM)
Post-translational modification
s Mass values used in FindMod
bull Modifications Abbreviation MonoisotopicAverage __
bull Acetylation ACET 420106 420373bull Amidation AMID -09840 -09847bull Beta-methylthiolation BMTH 459877118 4608688bull Biotin BIOT 2260776 2262934bull Carbamylation CAM 4300581 4302502bull Citrullination CITR 09840276 098476bull C-Mannosylation CMAN 162052823 1621424bull Deamidation DEAM 09840 09847bull N-acyl diglyceridebull cysteine (tripalmitate) DIAC 7887258 7893202bull Dimethylation DIMETH 280314 280538bull FAD FAD 7831415 783542bull Farnesylation FARN 2041878 2043556bull Formylation FORM 279949 280104bull Geranyl-geranyl GERA 2722504 2724741bull Gamma-carboxyglutamic acid GGLU 4398983
440098bull O-GlcNAc GLCN 2030794 2031950bull Glucosylation (Glycation) GLUC 1620528 1621424bull Hydroxylation HYDR 159949 159994bull Lipoyl LIPY 188033 1883027bull Methylation METH 140157 140269bull Myristoylation MYRI 2101984 2103598bull Palmitoylation PALM 2382297 2384136bull Phosphorylation PHOS 799663 799799bull Pyridoxal phosphate PLP 229014 229129bull Phosphopantetheine PPAN 339078 3393234bull Pyrrolidone carboxylic acidPYRR -170266 -170306bull Sulfation SULF 799568 800642bull Trimethylation TRIMETH 420471 420807
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Post-translational modification
s Mass values used in FindMod
bull Modifications Abbreviation MonoisotopicAverage __
bull Acetylation ACET 420106 420373bull Amidation AMID -09840 -09847bull Beta-methylthiolation BMTH 459877118 4608688bull Biotin BIOT 2260776 2262934bull Carbamylation CAM 4300581 4302502bull Citrullination CITR 09840276 098476bull C-Mannosylation CMAN 162052823 1621424bull Deamidation DEAM 09840 09847bull N-acyl diglyceridebull cysteine (tripalmitate) DIAC 7887258 7893202bull Dimethylation DIMETH 280314 280538bull FAD FAD 7831415 783542bull Farnesylation FARN 2041878 2043556bull Formylation FORM 279949 280104bull Geranyl-geranyl GERA 2722504 2724741bull Gamma-carboxyglutamic acid GGLU 4398983
440098bull O-GlcNAc GLCN 2030794 2031950bull Glucosylation (Glycation) GLUC 1620528 1621424bull Hydroxylation HYDR 159949 159994bull Lipoyl LIPY 188033 1883027bull Methylation METH 140157 140269bull Myristoylation MYRI 2101984 2103598bull Palmitoylation PALM 2382297 2384136bull Phosphorylation PHOS 799663 799799bull Pyridoxal phosphate PLP 229014 229129bull Phosphopantetheine PPAN 339078 3393234bull Pyrrolidone carboxylic acidPYRR -170266 -170306bull Sulfation SULF 799568 800642bull Trimethylation TRIMETH 420471 420807
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Biochemical Pathway Databases
bull Linking the biochemical pathways together and integration with the genomic data are the great tasks of biochemical pathway databases
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Metabolomics From Genes to Pathways
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Where do we go
ldquoDeconstruction of biological processes into their molecular componentsrdquo
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
DNA (Genomics)
RNA (Transcriptomics)
Protein (Proteomics)
Metabolites (Metabolomics)
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
From Gene genome cell organism populationhellip
toward System Biology
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
What are we going to do
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Fact Individual research units would not work any more
Recommendation
Team upGo beyond your own your institute and
your country boundaries
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Fact Genomic data are suppose to reduce time and efforts for preparation of reagents resources and information
Recommendation
Think bigbull Search and use data intelligently
bull Turn attention to complex biology from various angles ie have all needed specialty in your team
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Fact A mass of data is available freely
Recommendation
Learn how to useMake use of them to develop
technologies
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Fact Biology world is rapidly changing
Recommendation
Keep up with changesbull Re-establish systems with more flexibility and
more freedombull Loose regulations for funding employment
etcbull Re-design your research project
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Thanks for Your Attention
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
Cautions
bull One protein with different rolesbull Alpha-enolase in liverbull T-crystallin in eye lens
bull One structure in proteins with diverse functionsbull TIM barrels in isomerases oxidoreductase and hydrolases
bull 30 error in automated annotations
![Waters Expression High Definition Proteomics System · [application note] Determination of Quantitative Protein SignatureS for Ductal carcinoma (BreaSt cancer) By lc/mS Proteome analy](https://img.pdfslide.us/doc/110x75/5fa6ef0c7dde475dd1110ce8/waters-expression-high-definition-proteomics-system-application-note-determination.jpg)
