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Current Protein & Peptide Science

Editor-in-Chief

ISSN (Print): 1389-2037
ISSN (Online): 1875-5550

Current Frontiers

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

Author(s): Qi Zhao*, Haifan Yu, Mingxuan Ji, Yan Zhao and Xing Chen*

Volume 20, Issue 6, 2019

Page: [492 - 494] Pages: 3

DOI: 10.2174/1389203720666190123164310

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.

Graphical Abstract
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