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

[ Vol. 20 , Issue. 6 ]

Author(s):

Qi Zhao*, Haifan Yu, Mingxuan Ji, Yan Zhao and Xing Chen*   Pages 492 - 494 ( 3 )

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.

Keywords:

Drug-target interaction prediction, computational models, drug discovery, model development, diagnosis, treatment.

Affiliation:

College of Computer Science, Shenyang Aerospace University, Shenyang, 110136, School of Mathematics, Liaoning University, Shenyang, 110036, School of Mathematics, Liaoning University, Shenyang, 110036, School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116

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