Literature DB >> 23088273

Computational tools and resources for metabolism-related property predictions. 1. Overview of publicly available (free and commercial) databases and software.

Megan L Peach1, Alexey V Zakharov, Ruifeng Liu, Angelo Pugliese, Gregory Tawa, Anders Wallqvist, Marc C Nicklaus.   

Abstract

Metabolism has been identified as a defining factor in drug development success or failure because of its impact on many aspects of drug pharmacology, including bioavailability, half-life and toxicity. In this article, we provide an outline and descriptions of the resources for metabolism-related property predictions that are currently either freely or commercially available to the public. These resources include databases with data on, and software for prediction of, several end points: metabolite formation, sites of metabolic transformation, binding to metabolizing enzymes and metabolic stability. We attempt to place each tool in historical context and describe, wherever possible, the data it was based on. For predictions of interactions with metabolizing enzymes, we show a typical set of results for a small test set of compounds. Our aim is to give a clear overview of the areas and aspects of metabolism prediction in which the currently available resources are useful and accurate, and the areas in which they are inadequate or missing entirely.

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Year:  2012        PMID: 23088273      PMCID: PMC3992830          DOI: 10.4155/fmc.12.150

Source DB:  PubMed          Journal:  Future Med Chem        ISSN: 1756-8919            Impact factor:   3.808


  85 in total

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5.  Computational tools and resources for metabolism-related property predictions. 2. Application to prediction of half-life time in human liver microsomes.

Authors:  Alexey V Zakharov; Megan L Peach; Markus Sitzmann; Igor V Filippov; Heather J McCartney; Layton H Smith; Angelo Pugliese; Marc C Nicklaus
Journal:  Future Med Chem       Date:  2012-10       Impact factor: 3.808

6.  Computational prediction of small molecules with predicted binding to FGFR3 and testing biological effects in bone cells.

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7.  Computer-Aided Estimation of Biological Activity Profiles of Drug-Like Compounds Taking into Account Their Metabolism in Human Body.

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  8 in total

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