Drug–target interaction prediction: databases, web servers and computational models-Reference-Cited by-同舟云学术

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Drug–target interaction prediction: databases, web servers and computational models

Published:2015-08-17 Issue:4 Volume:17 Page:696-712
ISSN:1467-5463
Container-title:Briefings in Bioinformatics
language:en
Short-container-title:Brief Bioinform

Author:

Chen Xing,Yan Chenggang Clarence,Zhang Xiaotian,Zhang Xu,Dai Feng,Yin Jian,Zhang Yongdong

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

Link

http://academic.oup.com/bib/article-pdf/17/4/696/6685810/bbv066.pdf

Reference89 articles.

1. Can the pharmaceutical industry reduce attrition rates?

2. How to improve R&D productivity: the pharmaceutical industry's grand challenge

3. Key factors in the rising cost of new drug discovery and development

4. A Semi-Supervised Method for Drug-Target Interaction Prediction with Consistency in Networks

5. Prospects for productivity

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5. Redefining the Game: MVAE-DFDPnet's Low-Dimensional Embeddings for Superior Drug-Protein Interaction Predictions;IEEE Journal of Biomedical and Health Informatics;2024-07

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