A review on compound-protein interaction prediction methods: Data, format, representation and model-Reference-Cited by-同舟云学术

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A review on compound-protein interaction prediction methods: Data, format, representation and model

Published:2021 Issue: Volume:19 Page:1541-1556
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Lim Sangsoo,Lu Yijingxiu,Cho Chang Yun,Sung Inyoung,Kim Jungwoo,Kim Youngkuk,Park Sungjoon,Kim Sun

Funder

Korea Ministry of Food and Drug Safety

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference156 articles.

1. How to improve R&D productivity: the pharmaceutical industry’s grand challenge;Paul;Nat Rev Drug Discovery,2010

2. The impact of chemoinformatics on drug discovery in the pharmaceutical industry;Martinez-Mayorga;Expert Opin Drug Discov,2020

3. Hit and lead generation: beyond high-throughput screening;Bleicher;Nat Rev Drug Discov,2003

4. Improved statistical methods for hit selection in high-throughput screening;Brideau;J Biomol Screening,2003

5. Novel trends in high-throughput screening;Mayr;Curr Opin Pharmacol,2009

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