Drug-Target Interactions: Prediction Methods and Applications

被引：26
|
作者：
Anusuya, Shanmugam [1 ]
Kesherwani, Manish [2 ]
Priya, K. Vishnu [1 ]
Vimala, Antonydhason [1 ]
Shanmugam, Gnanendra [3 ]
Velmurugan, Devadasan [2 ,4 ]
Gromiha, M. Michael [1 ]
机构：
[1] Indian Inst Technol Madras, Bhupat & Jyoti Mehta Sch Biosci, Dept Biotechnol, Madras 600036, Tamil Nadu, India
[2] Univ Madras, Ctr Adv Study Crystallog & Biophys, Guindy Campus, Madras 600025, Tamil Nadu, India
[3] Mahendra Arts & Sci Coll, Dept Biotechnol, Kalippatti, Tamil Nadu, India
[4] Univ Madras, BIF, Guindy Campus, Madras 600025, Tamil Nadu, India
来源：
CURRENT PROTEIN & PEPTIDE SCIENCE | 2018年 / 19卷 / 06期
关键词：
Drug-target interaction; machine learning; supervised method; semi-supervised method; drug repurposing; poly-pharmacology; similarity based method; feature based method; drug design; LARGE-SCALE PREDICTION; INTERACTION NETWORKS; PROTEASE INHIBITORS; CHEMOGENOMIC FEATURES; BIOLOGICAL EVALUATION; MYCOBACTERIUM-LEPRAE; CHEMICAL-STRUCTURE; BINDING-AFFINITY; IDENTIFICATION; DISCOVERY;
D O I：
10.2174/1389203718666161108091609
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
Identifying the interactions between drugs and target proteins is a key step in drug discovery. This not only aids to understand the disease mechanism, but also helps to identify unexpected therapeutic activity or adverse side effects of drugs. Hence, drug-target interaction prediction becomes an essential tool in the field of drug repurposing. The availability of heterogeneous biological data on known drug-target interactions enabled many researchers to develop various computational methods to decipher unknown drug-target interactions. This review provides an overview on these computational methods for predicting drug-target interactions along with available webservers and databases for drug-target interactions. Further, the applicability of drug-target interactions in various diseases for identifying lead compounds has been outlined.
引用
收藏
页码：537 / 561
页数：25
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