Computational Model Development of Drug-Target Interaction Prediction: A Review

Author:

Zhao Qi1,Yu Haifan2,Ji Mingxuan2,Zhao Yan3,Chen Xing3

Affiliation:

1. College of Computer Science, Shenyang Aerospace University, Shenyang, 110136, China

2. School of Mathematics, Liaoning University, Shenyang, 110036, China

3. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China

Abstract

In the medical field, drug-target interactions are very important for the diagnosis and treatment of diseases, they also can help researchers predict the link between biomolecules in the biological field, such as drug-protein and protein-target correlations. Therefore, the drug-target research is a very popular study in both the biological and medical fields. However, due to the limitations of manual experiments in the laboratory, computational prediction methods for drug-target relationships are increasingly favored by researchers. In this review, we summarize several computational prediction models of the drug-target connections during the past two years, and briefly introduce their advantages and shortcomings. Finally, several further interesting research directions of drug-target interactions are listed.

Funder

Doctor Startup Foundation from Liaoning Province

National Natural Science Foundation of China

Publisher

Bentham Science Publishers Ltd.

Subject

Cell Biology,Molecular Biology,Biochemistry,General Medicine

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