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- W2935632020 endingPage "103159" @default.
- W2935632020 startingPage "103159" @default.
- W2935632020 abstract "Drug target interaction is a prominent research area in the field of drug discovery. It refers to the recognition of interactions between chemical compounds and the protein targets in the human body. Wet lab experiments to identify these interactions are expensive as well as time consuming. The computational methods of interaction prediction help limit the search space for these experiments. These computational methods can be divided into ligand based approaches, docking approaches and chemogenomic approaches. In this review, we aim to describe the various feature based chemogenomic methods for drug target interaction prediction. It provides a comprehensive overview of the various techniques, datasets, tools and metrics. The feature based methods have been categorized, explained and compared. A novel framework for drug target interaction prediction has also been proposed that aims to improve the performance of existing methods. To the best of our knowledge, this is the first comprehensive review focusing only on feature based methods of drug target interaction." @default.
- W2935632020 created "2019-04-11" @default.
- W2935632020 creator A5045869434 @default.
- W2935632020 creator A5069344086 @default.
- W2935632020 date "2019-05-01" @default.
- W2935632020 modified "2023-10-17" @default.
- W2935632020 title "A comprehensive review of feature based methods for drug target interaction prediction" @default.
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