DeepBLI: A Transferable Multichannel Model for Detecting β-Lactamase-Inhibitor Interaction-Reference-Cited by-同舟云学术

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DeepBLI: A Transferable Multichannel Model for Detecting β-Lactamase-Inhibitor Interaction

Published:2022-10-17 Issue:22 Volume:62 Page:5830-5840
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Dong Ruihan¹,Yang Hongpeng²,Ai Chengwei³,Duan Guihua⁴,Wang Jianxin⁴,Guo Fei⁴^ORCID

Affiliation:

1. Academy for Advanced Interdisciplinary Studies, Peking University, Beijing100871, China

2. Department of Computer Science and Engineering, University of South Carolina, Columbia, South Carolina29208, United States

3. College of Intelligence and Computing, Tianjin University, Tianjin300350, China

4. School of Computer Science and Engineering, Central South University, Changsha410083, China

Funder

Ministry of Science and Technology of the People's Republic of China

Natural Science Foundation of?Hunan Province

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.2c01008

Reference65 articles.

1. β-Lactamases and β-Lactamase Inhibitors in the 21st Century

2. Three Decades of β-Lactamase Inhibitors

3. The urgent need for metallo-β-lactamase inhibitors: an unattended global threat

4. Approaches for the discovery of metallo‐β‐lactamase inhibitors: A review

5. Toward more realistic drug-target interaction predictions

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