Systematic computational strategies for identifying protein targets and lead discovery-Reference-Cited by-同舟云学术

Systematic computational strategies for identifying protein targets and lead discovery

Published:2024 Issue:7 Volume:15 Page:2254-2269
ISSN:2632-8682
Container-title:RSC Medicinal Chemistry
language:en
Short-container-title:RSC Med. Chem.

Author:

Kataria Arti¹,Srivastava Ankit²,Singh Desh Deepak³^ORCID,Haque Shafiul⁴,Han Ihn⁵,Yadav Dharmendra Kumar⁶^ORCID

Affiliation:

1. Laboratory of Bacteriology, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Hamilton, MT, 59840, USA

2. Laboratory of Neurological Infections and Immunity, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Hamilton, MT, 59840, USA

3. Amity Institute of Biotechnology, Amity University Rajasthan, Jaipur, India

4. Research and Scientific Studies Unit, College of Nursing and Health Sciences, Jazan University, Jazan-45142, Saudi Arabia

5. Plasma Bioscience Research Center, Applied Plasma Medicine Center, Department of Electrical & Biological Physics, Kwangwoon University, Seoul 01897, Republic of Korea

6. Department of Biologics, College of Pharmacy, Gachon University, Hambakmoeiro 191, Yeonsu-gu, Incheon 21924, Republic of Korea

Abstract

Computational algorithms and tools have retrenched the drug discovery and development timeline.

Funder

Ministry of Education – Kingdom of Saudi Arabia

Kyung Hee University

Ministry of Education

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/MD/D4MD00223G

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