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

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

Journal Name: Current Protein & Peptide Science

Volume 20 , Issue 6 , 2019

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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.

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Article Details

VOLUME: 20
ISSUE: 6
Year: 2019
Page: [492 - 494]
Pages: 3
DOI: 10.2174/1389203720666190123164310

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