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Troubleshooting computational methods in drug discovery
Journal article   Peer reviewed

Troubleshooting computational methods in drug discovery

Sandhya Kortagere and Sean Ekins
Journal of pharmacological and toxicological methods, v 61(2), pp 67-75
Mar 2010
PMID: 20176118

Abstract

Predictive Value of Tests Computational Biology - methods Humans Toxicology - standards Toxicity Tests - standards Drug Discovery - methods Drug Discovery - standards Pharmaceutical Preparations - metabolism Animals Computer Simulation Drug-Related Side Effects and Adverse Reactions Toxicity Tests - methods Toxicology - methods Computational Biology - standards Drug Evaluation, Preclinical Pharmaceutical Preparations - administration & dosage
Computational approaches for drug discovery such as ligand-based and structure-based methods, are increasingly seen as an efficient approach for lead discovery as well as providing insights on absorption, distribution, metabolism, excretion and toxicity (ADME/Tox). What is perhaps less well known and widely described are the limitations of the different technologies. We have therefore presented a troubleshooting approach to QSAR, homology modeling, docking as well as hybrid methods. If such computational or cheminformatics methods are to become more widely used by non-experts it is critical that such limitations are brought to the user's attention and addressed during their workflows. This could improve the quality of the models and results that are obtained.

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Collaboration types
Domestic collaboration
Web of Science research areas
Pharmacology & Pharmacy
Toxicology
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