Literature DB >> 11727316

Computational methods to predict drug safety liabilities.

S K Durham1, G M Pearl.   

Abstract

Computational methods to predict drug safety liabilities are reviewed. A special emphasis of this article is on the perceived strengths and weaknesses of the commercial turnkey predictive toxicology programs (TOPKAT, MULTICASE and DEREK). This article includes proposals for improvements of individual predictive programs, experiences with pharmaceutical datasets, evaluations incorporating multiple programs, and strategies of their use as a sentinel filter for liability assessment early in the drug discovery process.

Mesh:

Year:  2001        PMID: 11727316

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  3 in total

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Journal:  J Med Chem       Date:  2011-05-23       Impact factor: 7.446

Review 2.  From QSAR to QSIIR: searching for enhanced computational toxicology models.

Authors:  Hao Zhu
Journal:  Methods Mol Biol       Date:  2013

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Authors:  Staffan Arvidsson McShane; Ernst Ahlberg; Tobias Noeske; Ola Spjuth
Journal:  J Chem Inf Model       Date:  2021-06-21       Impact factor: 4.956

  3 in total

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