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Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

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Page 1: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Biological Information and Biological Databases

Meena K Sakharkar

Bioinformatics Centre

National University of Singapore

Page 2: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Biological Information

Page 3: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Nature of Life Science Information

• Descriptive

• Classification and Nomenclatural

• Observational and Phenomenological

• Experimental

• Deduced/Computed

• Simulated?

• Theoretical?

Page 4: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Descriptive

Page 5: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Classify and Give Names

• Classification and Nomenclature

• Linnaeus - binomial nomenclature

• Group into kingdoms, phyla, classes, orders, families, genera, species, subspecies, strains, etc

• Associate descriptions to these classification schema, and classify according to description etc

Page 6: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Observational/Phenomenological

• Like descriptive, yet more active

• Observe a lot of biological phenomenon

• Charles Darwin

• Gregor Mendel to McClintock

• Start to do some experiments

Page 7: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Experimental

• From dissections to complex genetic engineering experiments

Page 8: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

BioInformatics

• Deduced/Computed

• Simulated?

• Theoretical?

Page 9: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

What is BioInformatics?

• Many related terms and buzzwords • A multiplicity of names:

– bioinformatics

– biocomputing

– biological computing

– computational biology

– computational genomics

– biological data mining

Page 10: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Overview of the challenges of Molecular Biology

Computing

• The huge dataset problem – automated DNA sequencers – the Human Genome Project – bulk sequencing of cDNAs (ESTs)

Page 11: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Human Genome Project

• What is the Human Genome Project? – 15-year effort formally begun in October 1990. coordinated by the

U.S. Department of Energy and the National Institutes of Health.

– identify all the estimated 80,000 genes in human DNA, – determine the sequences of the 3 billion chemical bases that make

up human DNA,

– store this information in databases,

– develop tools for data analysis, and

– address the ethical, legal, and social issues (ELSI) that may arise from the project.

Page 12: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

• Who is head of the U.S. Human Genome Project? – The DOE Human Genome Program is directed by Ari Patrinos,

and Francis Collins directs the NIH Human Genome Program.

– Ari Patrinos also heads the Department of Energy Office of Biological and Environmental Research.

Page 13: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

• What are the comparative genome sizes of humans and other organisms being studied?

If compiled in books, the data would fill an estimated 200 volumes the size of a Manhattan telephone book (at 1000 pages each), and reading it would require 26 years working around the clock

Page 14: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore
Page 15: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Informatics: Data Collection and Interpretation

HUMAN GENETIC DIVERSITY

• The Ultimate Human Genetic Database

• Any two individuals differ in about 3 x 106 bases (0.1%).

• The population is now about 5 x 109.

• A catalog of all sequence differences would require 15 x 1015 entries.

• This catalog may be needed to find the rarest or most complex disease genes.

Page 16: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Databases

Page 17: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Basic Terminology

What is a nucleotide/protein sequence database and

databank?

• Database is a collection of Nucleotide/protein sequence and their Associated annotations.

• Databanks

Groups which collect, compile, maintain and distribute the database.

Page 18: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Fundamental

Dogma

Page 19: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Work from the Code of Life

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Page 21: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Deduced and Computed Information in the Era of Computational Biology

Page 22: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore
Page 23: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Databases

• What are the different kinds of databases and their formats?

Nucleic Acid Sequence EMBL at EBI. GENBANK at NCBI. DDBJ at Japan.

Protein Sequence SWISS PROT NBRF(PIR)

Page 24: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Database

• Protein structure databases

PDB

• Information on the structural data for the proteins/nucleic acids.

• whose 3-D structure solved by X-ray crystallography/NMR

• PDB database

NRL 3D Database

• NRL_3D is a sequence-structure database.

• Can be used in conjunction with PIR.

• PDB with PIR.

Page 25: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

GenBank Entry

Page 26: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

EMBL Entry

Page 27: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

SwissProt Entry

Page 28: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Other databases

• Genome Databases– GDB :Genome Data Bank– OMIM

• Pattern Databases– Prosite– TFD

Page 29: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Usage of databases• Annotation Searches - KW, Authors, Features.

– What is the protein sequence for human insulin?

– How does the 3D structure of calmodulin look like?

– What is the genetic location of cystic fibrosis gene?

– List all introns in rat?

• Homology Searches– Is there any protein sequence that is similar to mine?

– Is this gene known in any other species?

– Has someone already cloned this sequence?

Page 30: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Usage of databases• Pattern searches

– Does my sequence contain any known motif (that can give me a clue about the function)?

– Which known sequences contain this motif?

– Is any part of my sequence recoganised by a transcription factor?

– List all known start, splice and stop signals in my genomic sequence

• Prediction - Use the database as knowledge database– What may the structure of my protein be?

• Secondary structure prediction

• Modeling by homology

– What is the gene structure of my genomic sequence?

– Which parts of my protein have a high antigenicity?

Page 31: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Usage of Databases

• Comparisons:– Gene Families– Phylogenetic Trees

Page 32: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

GenBank Growth Chart

0

200000000

400000000

600000000

800000000

1000000000

1200000000

1400000000

1600000000

Dec-82

Sep-84

May-85

May-86

Feb-87

Sep-87

Jun-88

Dec-88

Sep-89

Jun-90

Mar-91

Dec-91

Sep-92

Apr-93

Oct-93

Apr-94

Oct-94

Apr-95

Oct-95

Apr-96

Oct-96

Apr-97

Oct-97

Apr-98

Year

Bases

Page 33: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Evolutionary basis of Alignment

• Enable the researcher to determine if two sequences display sufficient similarity to justify the inference of homology.

• Similarity is an observable quantity that may be expressed as say %identity or some other measure.

• Homology is a conclusion drawn from this data that the two genes share a common evolutionary history.

Page 34: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Sequence Formats

Page 35: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Fasta Format

>SANJAY REFORMAT of: SANJAY.seq check: 8826 from: 1 to: 573 March 12, 1998

MASSSVPPMITEEEARFEAEVSAVESWWRTDRFRLTRRPYSARDVVSLRGTLHHSYASDQ

MAKKLWRTLKSHQSAGTASRTFGALDPVQVTMMAKHLDTIYVSGWQCSSTHTATNEPGPD

LADYPYNTVPNKVEHLFFAQLYHDRKQHEARVSMTREQRAKTPYVDYLRPIIADGDTGFG

GATATVKLCKLFVERGAAGVHIEDQSSVTKKCGHMAGKVLVAVSEHINRLVAARLQFDVM

GVETVLVARTDAVAATLIQSNVDLRDHQFILGATNPDFKRRSLAAVLSAAMAAGKTGAVL

QAIEDDWLSRAGLMTFSDAVINGINRQLPEYEKQRRLNEWAAATEYSKCVSNEQGREIAE

RLGAGEIFWDWDIARTREGFYRFRGSVEAAVVRGRAFAPHADLIWMETSSPDLVECGKFA

QGMKASHPEIMLAYNLSPSFNWDAAGMTDEEMRDFIPRIAKMGFCWQFITLGGFHADALV

TDTFAREFAKQGMLAYVERIQREERNNGVDTLAHQKWSGANYYDRYLKTVQGGISSTAAM

GKGVTEEQFKEESRTGTRGLDRGGITVNAKSRL

Page 36: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

GCG Format

ckl.seq Length: 473 September 15, 1999 12:25 Type: P Check: 8103 .. 1 MSTKYSASAE SASSYRRTFG SGLGSSIFAG HGSSGSSGSS RLTSRVYEVT

51 KSSASPHFSS HRASGSFGGG SVVRSYAGLG EKLDFNLADA INQDFLNTRT

101 NEKAELQHLN DRFASYIEKV RFLEQQNSAL TVEIERLRGR EPTRIAELYE

151 EEMRELRGQV EALTNQRSRV EIERDNLVDD LQKLKLRLQE EIHQKEEAEN

201 NLSAFRADVD AATLARLDLE RRIEGLHEEI AFLRKIHEEE IRELQNQMQE

251 SQVQIQMDMS KPDLTAALRD IRLQYEAIAA KNISEAEDWY KSKVSDLNQA

301 VNKNNEALRE AKQETMQFRH QLQSYTCEID SLKGTNESLR RQMSEDGGAA

351 GREAGGYQDT IARLEAEIAK MKDEMARHLR EYQDLLNVKM ALDVEIATYR

401 KLLEGEESRI SLPVQSFSSL SFRESSPEQH HHQQQQPQRS SEVHSKKTVL

451 IKTIETRDGE VVSESTQHQQ DVM

Page 37: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Taxonomy Database

Page 38: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore
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Blast Results

Page 54: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Examples of the New Biology

1. Full genome-genome comparisons

2. Rapid assessment of polymorphic genetic variations

3. Complete construction of orthologous or paralogous groups of genes

4. Structure determination of large macromolecular assemblies/complexes

5. Dynamically simulation of realistic oligomeric systems

6. Rapid structural/topological clustering of proteins

7. Prediction of unknown molecular structures; Protein folding

8. Computer simulation of membrane structure and dynamic function

9. Simulation of genetic networks and the sensitivity of these pathways to component stoichiometry and kinetics

10.Integration of observations across scales of vastly different dimensions and organization to yield realistic environmental models for basic biology and societal needs

Page 55: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Theoretical?• The day will dawn when we

will have sufficient information to understand how basic life functions are integrated into a living cell, and how such cells intercommunicate and interoperate to function as a living whole. Then maybe, we can start talking about theoretical biology

Page 56: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Categories of BioDbs - by domain of information

• DNA• RNA• Protein• Genomic Mapping• Pathways• Structure• Bibliographic• Biochemical/Molecular/Miscellaneous

Page 57: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Other categories

• By category of species

• By families or superfamilies of molecules

etc

• Demo

http://www.infobiogen.fr/services/dbcat/

Page 58: Biological Information and Biological Databases Meena K Sakharkar Bioinformatics Centre National University of Singapore

Demonstration of BioDatabases

• Majority of Life Science databases are online, accessible with Web via Internet

• Catalogs of databases available

• Need for a Registry to keep track and offer quality control