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Interpretation of Quantitative Structure-Activity Relationship Models: Past, Present, and Future.

Pavel Polishchuk
Published in: Journal of chemical information and modeling (2017)
This paper is an overview of the most significant and impactful interpretation approaches of quantitative structure-activity relationship (QSAR) models, their development, and application. The evolution of the interpretation paradigm from "model → descriptors → (structure)" to "model → structure" is indicated. The latter makes all models interpretable regardless of machine learning methods or descriptors used for modeling. This opens wide prospects for application of corresponding interpretation approaches to retrieve structure-property relationships captured by any models. Issues of separate approaches are discussed as well as general issues and prospects of QSAR model interpretation.
Keyphrases
  • structure activity relationship
  • machine learning
  • molecular docking
  • high resolution
  • mass spectrometry
  • molecular dynamics simulations