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- W4306937122 endingPage "7103" @default.
- W4306937122 startingPage "7103" @default.
- W4306937122 abstract "Target identification is an important step in drug discovery, and computer-aided drug target identification methods are attracting more attention compared with traditional drug target identification methods, which are time-consuming and costly. Computer-aided drug target identification methods can greatly reduce the searching scope of experimental targets and associated costs by identifying the diseases-related targets and their binding sites and evaluating the druggability of the predicted active sites for clinical trials. In this review, we introduce the principles of computer-based active site identification methods, including the identification of binding sites and assessment of druggability. We provide some guidelines for selecting methods for the identification of binding sites and assessment of druggability. In addition, we list the databases and tools commonly used with these methods, present examples of individual and combined applications, and compare the methods and tools. Finally, we discuss the challenges and limitations of binding site identification and druggability assessment at the current stage and provide some recommendations and future perspectives." @default.
- W4306937122 created "2022-10-21" @default.
- W4306937122 creator A5008628779 @default.
- W4306937122 creator A5033081847 @default.
- W4306937122 creator A5038628333 @default.
- W4306937122 creator A5085601721 @default.
- W4306937122 date "2022-10-20" @default.
- W4306937122 modified "2023-09-30" @default.
- W4306937122 title "In Silico Methods for Identification of Potential Active Sites of Therapeutic Targets" @default.
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