Chemical Genomics Matrix Data
This webportal allows navigation of the data generated for "Prediction of Synergism from Chemical-Genetic Interactions by Machine Learning"
(Wildenhain et al. Cell Systems, 2015
). Screening data can be accessed via the 'Screening data' and 'Screen comparison'
tabs. Data for single molecules can be retrieved on the 'Search for compounds' and 'Structure
search' tabs. The SONAR graph analysis is available via the compound pages in the right
top corner (Example
To generate drug combination checkerboards you can use the shiny
Supplementary tables provided with the manuscript:
Overview on compound libraries, unique molecules, unique strain identifiers and cryptagens in study.
Unique compound identifiers and CGM identifiers for all compounds used in study.
Selected sentinel strains and biological description.
Naive Bayes AUC values for each sentinel strains in this study.
Compound properties, information and experimental data for the 128 matrix molecules.
Literature curation of yeast targets from literature compared with SONAR performance.
Synergy prediction results versus the Bliss independence values measured for different datasets.
Confusion matrices on test data for Spectrum, Maybridge Hitskit and ChemDiv Kinase libraries.
Details for compounds used for Figures 7 & 8 with abbreviations and checkerboard results for this study.