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e-models
• Comb-e-chem– End-to-end model:
Experiment
Data Derived results
Pattern searching
Broad conclusionsNCS
Other databasesCalculations
Statistical analysis
Solubility Prediction
• Critical property for the pharmaceutical industry
• Solid-state structure from X-ray diffraction– Structural analysis for patterns (Jeremy Harvey)
• Calculation of single-molecule properties• Calculation of bulk properties• Statistical modelling to yield predicted
solubilities
Solubility Prediction
• Optimisation of the statistical model requires lots of experimental data
• Database– Store known experimental data
• Many values, different sources, different conditions• Some data missing!
• More data arriving all the time
• New types of data arriving
– Store results from different modelling studies– Store and recover workflows– RDF and triple store (Kieron Taylor)
Solubility Prediction
• Calculations– Automatic update of statistical models as new data
become available– How and where are these calculations performed?
• Condor?• United Devices?• Larger grid?
– E-learning (Robert Gledhill & Sarah Kent)– Protein conformational change (condor and small
dedicated cluster) (Christopher Woods)
Investigating conformational change
• Difficult to investigate the conformational change experimentally, as P-NtrC is short-lived
• Simulate the NtrC protein and encourage the conformational change on the computer