GINCM-DTA: A graph isomorphic network with protein contact map representation for potential use against COVID-19 and Omicron subvariants BQ.1, BQ.1.1, XBB.1.5, XBB.1.16-Reference-Cited by-同舟云学术

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GINCM-DTA: A graph isomorphic network with protein contact map representation for potential use against COVID-19 and Omicron subvariants BQ.1, BQ.1.1, XBB.1.5, XBB.1.16

Published:2024-02 Issue: Volume:236 Page:121274
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Chen Guanxing^ORCID,He Haohuai^ORCID,Zhao Lu^ORCID,Lv Qiujie^ORCID,Chen Calvin Yu-Chian^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference92 articles.

1. Coronavirus disease 2019 (COVID-19) pandemic and economic impact;Ahmad;Pakistan Journal of Medical Sciences,2020

2. Combined deep learning and molecular docking simulations approach identifies potentially effective FDA approved drugs for repurposing against SARS-CoV-2;Anwaar;Computers in Biology and Medicine,2022

3. The rapid rise of SARS-CoV-2 omicron subvariants with immune evasion properties: XBB.1.5 and BQ.1.1 subvariants;Ao;MedComm,2023

4. Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model;Beck;Computational and Structural Biotechnology Journal,2020

5. The protein data bank;Berman;Nucleic Acids Research,2000

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Freeprotmap: waiting-free prediction method for protein distance map;BMC Bioinformatics;2024-05-04

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