A Review of Computational Methods for Predicting Drug Targets-Reference-Cited by-同舟云学术

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A Review of Computational Methods for Predicting Drug Targets

Published:2018-04-11 Issue:6 Volume:19 Page:562-572
ISSN:1389-2037
Container-title:Current Protein & Peptide Science
language:en
Short-container-title:CPPS

Author:

Huang Guohua¹,Yan Fengxia²,Tan Duoduo³

Affiliation:

1. Provincial Key Laboratory of Informational Service for Rural Area of Southwestern Hunan, Shaoyang University, Shaoyang, Hunan 422000, China

2. College of Science, National University Defense Technology, Changsha, Hunan 410073, China

3. School of Finance and Statistics, Hunan University, Changsha, Hunan 410081, China

Publisher

Bentham Science Publishers Ltd.

Subject

Cell Biology,Molecular Biology,Biochemistry,General Medicine

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mutual-DTI: A mutual interaction feature-based neural network for drug-target protein interaction prediction;Mathematical Biosciences and Engineering;2023

2. Toxicology in drug research;Essentials of Pharmatoxicology in Drug Research, Volume 1;2023

3. A Novel Drug-Target Interaction Predication Model Via Singular Value Decomposition and Collaborative Filtering;2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2022-12-06

4. Mechanisms of Gynostemma pentaphyllum against non‐alcoholic fibre liver disease based on network pharmacology and molecular docking;Journal of Cellular and Molecular Medicine;2022-06-03

5. Leveraging systems biology for predicting modulators of inflammation in patients with COVID-19;Science Advances;2021-02-05

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