Prediction of biological activity spectra via the Internet.
The majority of biologically active compounds have both pharmacotherapeutic and side/toxic actions. To estimate general efficacy and safety of the molecules under study, their biological potential should be thoroughly evaluated. In an early stage of study, only information about structural formulae was available and was used as an input for computational prediction. Based on a structural formulae of compounds presented as SDF or MOL-files, computer program PASS predicts 900 pharmacological effects, mechanism of action, and specific toxicity. An average accuracy of prediction in leave-one-out cross-validation is about 85%. For evaluating new compounds, scientific community may use PASS via the Internet for free at URL: http://www.ibmh.msk.su/PASS. In the first 18 months of PASS Inet's use, approximately 1000 researchers from 60 countries have obtained predicted biological activity spectra for about 23,000 different chemical compounds. More than 64 million PASS predictions for almost 250,000 compounds from Open NCI database are available on the web site http://cactus.nci.nih.gov/ncidb2/. These predictions are used for selecting compounds with desirable and without unwanted types of biological activities among the NCI samples available for screening.
Sadym
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Institute of Biomedical Chemistry of Russian Academy of Medical Sciences, Pogodinskaya Street 10, Moscow, 119121, Russia.
Lagunin
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Filimonov
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Poroikov
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D003198:Computer Simulation; D016208:Databases, Factual; D015195:Drug Design; D005544:Forecasting; D006801:Humans; D020407:Internet; D008958:Models, Molecular; D009316:National Institutes of Health (U.S.); D021281:Quantitative Structure-Activity Relationship; D012984:Software; D014481:United States