Interpretation of Quantitative Structure–Activity Relationship Models: Past, Present, and Future 论文
2017Journal of Chemical Information and Modeling引用 230
Computational Drug Discovery MethodsMetabolomics and Mass Spectrometry StudiesBioinformatics and Genomic Networks
摘要
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.