PPDTS: Predicting potential drug–target interactions based on network similarity-Reference-Cited by-同舟云学术

PPDTS: Predicting potential drug–target interactions based on network similarity

Published:2021-11-16 Issue:1 Volume:16 Page:18-27
ISSN:1751-8849
Container-title:IET Systems Biology
language:en
Short-container-title:IET Systems Biology

Author:

Wang Wei¹²³^ORCID,Wang Yongqing¹,Zhang Yu¹,Liu Dong¹²³,Zhang Hongjun⁴,Wang Xianfang⁵

Affiliation:

1. College of Computer and Information Engineering Henan Normal University Xinxiang China

2. Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province Henan Normal University Xinxiang China

3. Big Data Engineering Laboratory for Teaching Resources and Assessment of Education Quality of Henan Province Henan Normal University Xinxiang China

4. Computer Science and Technology Anyang University Anyang China

5. Computer Science and Technology Henan Institute of Technology Xinxiang China

Funder

Natural Science Foundation of Henan Province

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Cell Biology,Genetics,Molecular Biology,Modeling and Simulation,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/syb2.12037

Reference50 articles.

1. Learning to Predict Drug Target Interaction From Missing Not at Random Labels

2. Counter-regulatory ‘Renin-Angiotensin’ System-based Candidate Drugs to Treat COVID-19 Diseases in SARS-CoV-2-infected Patients

3. Oral Anticoagulants and Precision Medicine: Something Old, Something New

4. Drug repositioning: identifying and developing new uses for existing drugs

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

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