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
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
- FWCI
- 64.80
- Percentile
- 100%
- References
- 290
Authors
20- ACArtem CherkasovCorresponding
University of British Columbia
- EMEugene Muratov
University of North Carolina at Chapel Hill, National Academy of Sciences of Ukraine
- DFDenis Fourches
University of North Carolina at Chapel Hill
- AVAlexandre Varnek
Université de Strasbourg
- IIIgor I. Baskin
Lomonosov Moscow State University
Topics & keywords
- Quantitative structure–activity relationship
- Management science
- Reliability (semiconductor)
- Computer science
- Chemistry
- Biochemical engineering
- Data science
- Machine learning
- Peace, Justice and strong institutions