Literature DB >> 17365962

PASS: identification of probable targets and mechanisms of toxicity.

V Poroikov1, D Filimonov, A Lagunin, T Gloriozova, A Zakharov.   

Abstract

Toxicity of chemical compound is a complex phenomenon that may be caused by its interaction with different targets in the organism. Two distinct types of toxicity can be broadly specified: the first one is caused by the strong compound's interaction with a single target (e.g. AChE inhibition); while the second one is caused by the moderate compound's interaction with many various targets. Computer program PASS predicts about 2500 kinds of biological activities based on the structural formula of chemical compounds. Prediction is based on the robust analysis of structure-activity relationships for about 60,000 biologically active compounds. Mean accuracy exceeds 90% in leave-one-out cross-validation. In addition to some kinds of adverse effects and specific toxicity (e.g. carcinogenicity, mutagenicity, etc.), PASS predicts approximately 2000 kinds of biological activities at the molecular level, that providing an estimated profile of compound's action in biological space. Such profiles can be used to recognize the most probable targets, interaction with which might be a reason of compound's toxicity. Applications of PASS predictions for analysis of probable targets and mechanisms of toxicity are discussed.

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Year:  2007        PMID: 17365962     DOI: 10.1080/10629360601054032

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


  24 in total

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7.  Proteochemometric modelling coupled to in silico target prediction: an integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules.

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Journal:  J Cheminform       Date:  2015-04-15       Impact factor: 5.514

8.  A multi-label approach to target prediction taking ligand promiscuity into account.

Authors:  Hamse Y Mussa; Andreas Bender; Avid M Afzal; Richard E Turner; Robert C Glen
Journal:  J Cheminform       Date:  2015-05-30       Impact factor: 5.514

9.  A survey of quantitative descriptions of molecular structure.

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Journal:  Nucleic Acids Res       Date:  2008-05-22       Impact factor: 16.971

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