Predicting drug–target interaction for new drugs using enhanced similarity measures and super-target clustering-Reference-Cited by-同舟云学术

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Predicting drug–target interaction for new drugs using enhanced similarity measures and super-target clustering

Published:2015-07 Issue: Volume:83 Page:98-104
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Shi Jian-Yu,Yiu Siu-Ming,Li Yiming,Leung Henry C.M.,Chin Francis Y.L.

Funder

Hong Kong Scholars Program

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

NSFC

Shenzhen basic research project

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference29 articles.

1. PubChem: Integrated Platform of Small Molecules and Biological Activities

2. Computational Drug Repositioning: From Data to Therapeutics

3. Drug—target network

4. Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference

5. Large-scale prediction of drug–target interactions using protein sequences and drug topological structures

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