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This perspective concerns the methods employed within the current drug discovery community to develop predictive quantitative structure-activity relationships (QSAR). Specifically, a number of cautions are provided which may circumvent misuse and misunderstanding of the technique. Ignorance of such caveats has led to a discouraging tendency of the methods to result in poorly predictive models. Among these pitfalls are the fondness with which we associate correlation with causation, the mesmerizing influence of large numbers of molecular descriptors, the incessant misuse of the leave-one-out paradigm, and finally, the QSAR enigma wherein model predictivity is not a necessary component of a model's usefulness.
Models, Molecular, Drug Design, Quantitative Structure-Activity Relationship
Models, Molecular, Drug Design, Quantitative Structure-Activity Relationship
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 125 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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