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.
journal_name
J Biomed Informjournal_title
Journal of biomedical informaticsauthors
Sachdev K,Gupta MKdoi
10.1016/j.jbi.2019.103159subject
Has Abstractpub_date
2019-05-01 00:00:00pages
103159eissn
1532-0464issn
1532-0480pii
S1532-0464(19)30077-2journal_volume
93pub_type
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journal_title：Journal of biomedical informatics
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更新日期：2015-08-01 00:00:00
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journal_title：Journal of biomedical informatics
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journal_title：Journal of biomedical informatics
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