Literature DB >> 12184387

Computer aided prediction of biological activity spectra: evaluating versus known and predicting of new activities for thiazole derivatives.

A Geronikaki1, A Lagunin, V Poroikov, D Filimonov, D Hadjipavlou-Litina, P Vicini.   

Abstract

Computer aided prediction of biological activity spectra by the computer program PASS was applied to a set of 89 new thiazole derivatives. Experimentally tested activities (NSAID, local anaesthetic and antioxidant) coincide with the experiment in 70.8% cases, that exceeds significantly the random guess-work (approximately 0.1%). Therefore, computer aided prediction using the Prediction of Activity Spectra for Substances (PASS) system (http://www.ibmh.msk.su/PASS) provides a reliable basis for planning of synthesis and experimental study for new compounds. New psychotropic activities are predicted for some compounds from the series under study. In particular, 7, 44 and 55 compounds likely have anxiolytic, anticonvulsant and cognition enhancer effects, respectively. Most of these compounds have the estimated values of probability to be active (Pa) less than 60%. Therefore, if their activity will be confirmed by the experiment, they might occur to be New Chemical Entities.

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Year:  2002        PMID: 12184387     DOI: 10.1080/10629360290014322

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  2 in total

1.  Toward automated biochemotype annotation for large compound libraries.

Authors:  Xian Chen; Yizeng Liang; Jun Xu
Journal:  Mol Divers       Date:  2006-09-12       Impact factor: 2.943

2.  Computer Aided Prediction of Biological Activity Spectra: Study of Correlation between Predicted and Observed Activities for Coumarin-4-Acetic Acids.

Authors:  M Basanagouda; V B Jadhav; M V Kulkarni; R Nagendra Rao
Journal:  Indian J Pharm Sci       Date:  2011-01       Impact factor: 0.975

  2 in total

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