Effective Surrogate Models for Docking Scores Prediction of Candidate Drug Molecules on SARS-CoV-2 Protein Targets-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Effective Surrogate Models for Docking Scores Prediction of Candidate Drug Molecules on SARS-CoV-2 Protein Targets

Published:2023-12-05 Issue: Volume:8 Page:4235-4242
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
Short-container-title:

Author:

Shi Wenqi¹,Murakoso Mio²,Guo Xiaoyan³,Xiong Linxi⁴,Chen Matthew³,Wang May D.⁵

Affiliation:

1. Georgia Institute of Technology,Department of Electrical and Computer Engineering,Atlanta,USA

2. Kyoto University,Department of Applied Life Science,Kyoto,Japan

3. Georgia Institute of Technology,College of Computing,Atlanta,USA

4. Tsinghua University,Tanwei College,Beijing,China

5. Georgia Institute of Technology,Wallace H. Coulter Department of Biomedical Engineering,Atlanta,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385643.pdf?arnumber=10385643

Reference49 articles.

1. A new coronavirus associated with human respiratory disease in China

2. Machine learning for molecular and materials science

3. AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings

4. Analysis of therapeutic targets for SARS-CoV-2 and discovery of potential drugs by computational methods

5. A search for medications to treat COVID-19 via in silico molecular docking models of the SARS-CoV-2 spike glycoprotein and 3CL protease

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP