articleJournal of Medicinal ChemistryDec 18, 2013Closed access

QSAR Modeling: Where Have You Been? Where Are You Going To?

University of British Columbia · University of North Carolina at Chapel Hill · +11 more institutions

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Abstract

Quantitative structure-activity relationship modeling is one of the major computational tools employed in medicinal chemistry. However, throughout its entire history it has drawn both praise and criticism concerning its reliability, limitations, successes, and failures. In this paper, we discuss (i) the development and evolution of QSAR; (ii) the current trends, unsolved problems, and pressing challenges; and (iii) several novel and emerging applications of QSAR modeling. Throughout this discussion, we provide guidelines for QSAR development, validation, and application, which are summarized in best practices for building rigorously validated and externally predictive QSAR models. We hope that this Perspective…

Citation impact

2,032
total citations
FWCI
64.80
Percentile
100%
References
290
Citations per year

Authors

20

Topics & keywords

Keywords
  • Quantitative structure–activity relationship
  • Management science
  • Reliability (semiconductor)
  • Computer science
  • Chemistry
  • Biochemical engineering
  • Data science
  • Machine learning
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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