Literature DB >> 34073716

Genome-Scale Metabolic Model of Infection with SARS-CoV-2 Mutants Confirms Guanylate Kinase as Robust Potential Antiviral Target.

Alina Renz1,2,3, Lina Widerspick4, Andreas Dräger1,2,3,5.   

Abstract

The current SARS-CoV-2 pandemic is still threatening humankind. Despite first successes in vaccine development and approval, no antiviral treatment is available for COVID-19 patients. The success is further tarnished by the emergence and spreading of mutation variants of SARS-CoV-2, for which some vaccines have lower efficacy. This highlights the urgent need for antiviral therapies even more. This article describes how the genome-scale metabolic model (GEM) of the host-virus interaction of human alveolar macrophages and SARS-CoV-2 was refined by incorporating the latest information about the virus's structural proteins and the mutant variants B.1.1.7, B.1.351, B.1.28, B.1.427/B.1.429, and B.1.617. We confirmed the initially identified guanylate kinase as a potential antiviral target with this refined model and identified further potential targets from the purine and pyrimidine metabolism. The model was further extended by incorporating the virus' lipid requirements. This opened new perspectives for potential antiviral targets in the altered lipid metabolism. Especially the phosphatidylcholine biosynthesis seems to play a pivotal role in viral replication. The guanylate kinase is even a robust target in all investigated mutation variants currently spreading worldwide. These new insights can guide laboratory experiments for the validation of identified potential antiviral targets. Only the combination of vaccines and antiviral therapies will effectively defeat this ongoing pandemic.

Entities:  

Keywords:  B.1.1.7; B.1.28; B.1.351; B.1.427/B.1.429; B.1.617; COVID-19; SARS-CoV-2; flux balance analysis (FBA); genome-scale metabolic models; purine metabolism; pyrimidine metabolism; reaction knock-out; structural proteins; target identification

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Year:  2021        PMID: 34073716     DOI: 10.3390/genes12060796

Source DB:  PubMed          Journal:  Genes (Basel)        ISSN: 2073-4425            Impact factor:   4.096


  61 in total

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2.  Altered Lipid Metabolism in Recovered SARS Patients Twelve Years after Infection.

Authors:  Qi Wu; Lina Zhou; Xin Sun; Zhongfang Yan; Chunxiu Hu; Junping Wu; Long Xu; Xue Li; Huiling Liu; Peiyuan Yin; Kuan Li; Jieyu Zhao; Yanli Li; Xiaolin Wang; Yu Li; Qiuyang Zhang; Guowang Xu; Huaiyong Chen
Journal:  Sci Rep       Date:  2017-08-22       Impact factor: 4.379

3.  A pneumonia outbreak associated with a new coronavirus of probable bat origin.

Authors:  Peng Zhou; Xing-Lou Yang; Xian-Guang Wang; Ben Hu; Lei Zhang; Wei Zhang; Hao-Rui Si; Yan Zhu; Bei Li; Chao-Lin Huang; Hui-Dong Chen; Jing Chen; Yun Luo; Hua Guo; Ren-Di Jiang; Mei-Qin Liu; Ying Chen; Xu-Rui Shen; Xi Wang; Xiao-Shuang Zheng; Kai Zhao; Quan-Jiao Chen; Fei Deng; Lin-Lin Liu; Bing Yan; Fa-Xian Zhan; Yan-Yi Wang; Geng-Fu Xiao; Zheng-Li Shi
Journal:  Nature       Date:  2020-02-03       Impact factor: 69.504

4.  SARS-CoV-2 hijacks folate and one-carbon metabolism for viral replication.

Authors:  Yuchen Zhang; Rui Guo; Sharon H Kim; Hardik Shah; Shuting Zhang; Jin Hua Liang; Ying Fang; Matteo Gentili; Colin N O' Leary; Steven J Elledge; Deborah T Hung; Vamsi K Mootha; Benjamin E Gewurz
Journal:  Nat Commun       Date:  2021-03-15       Impact factor: 14.919

Review 5.  COVID-19: Coronavirus Vaccine Development Updates.

Authors:  Jing Zhao; Shan Zhao; Junxian Ou; Jing Zhang; Wendong Lan; Wenyi Guan; Xiaowei Wu; Yuqian Yan; Wei Zhao; Jianguo Wu; James Chodosh; Qiwei Zhang
Journal:  Front Immunol       Date:  2020-12-23       Impact factor: 7.561

6.  Structure and drug binding of the SARS-CoV-2 envelope protein transmembrane domain in lipid bilayers.

Authors:  Venkata S Mandala; Matthew J McKay; Alexander A Shcherbakov; Aurelio J Dregni; Antonios Kolocouris; Mei Hong
Journal:  Nat Struct Mol Biol       Date:  2020-11-11       Impact factor: 15.369

7.  Analysis of the SARS-CoV-2 spike protein glycan shield reveals implications for immune recognition.

Authors:  Oliver C Grant; David Montgomery; Keigo Ito; Robert J Woods
Journal:  Sci Rep       Date:  2020-09-14       Impact factor: 4.379

8.  Novel and potent inhibitors targeting DHODH are broad-spectrum antivirals against RNA viruses including newly-emerged coronavirus SARS-CoV-2.

Authors:  Rui Xiong; Leike Zhang; Shiliang Li; Yuan Sun; Minyi Ding; Yong Wang; Yongliang Zhao; Yan Wu; Weijuan Shang; Xiaming Jiang; Jiwei Shan; Zihao Shen; Yi Tong; Liuxin Xu; Yu Chen; Yingle Liu; Gang Zou; Dimitri Lavillete; Zhenjiang Zhao; Rui Wang; Lili Zhu; Gengfu Xiao; Ke Lan; Honglin Li; Ke Xu
Journal:  Protein Cell       Date:  2020-08-04       Impact factor: 14.870

Review 9.  Vaccines for COVID-19.

Authors:  J S Tregoning; E S Brown; H M Cheeseman; K E Flight; S L Higham; N-M Lemm; B F Pierce; D C Stirling; Z Wang; K M Pollock
Journal:  Clin Exp Immunol       Date:  2020-10-18       Impact factor: 4.330

10.  Methotrexate inhibits SARS-CoV-2 virus replication "in vitro".

Authors:  Arnaldo Caruso; Francesca Caccuri; Antonella Bugatti; Alberto Zani; Marco Vanoni; Paolo Bonfanti; Marina E Cazzaniga; Carlo F Perno; Cristina Messa; Lilia Alberghina
Journal:  J Med Virol       Date:  2020-09-14       Impact factor: 2.327

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  3 in total

1.  Human/SARS-CoV-2 genome-scale metabolic modeling to discover potential antiviral targets for COVID-19.

Authors:  Feng-Sheng Wang; Ke-Lin Chen; Sz-Wei Chu
Journal:  J Taiwan Inst Chem Eng       Date:  2022-02-15       Impact factor: 5.876

2.  Whole-body metabolic modelling predicts isoleucine dependency of SARS-CoV-2 replication.

Authors:  Ines Thiele; Ronan M T Fleming
Journal:  Comput Struct Biotechnol J       Date:  2022-07-20       Impact factor: 6.155

3.  Integration of omics data to generate and analyse COVID-19 specific genome-scale metabolic models.

Authors:  Tadeja Režen; Alexandre Martins; Miha Mraz; Nikolaj Zimic; Damjana Rozman; Miha Moškon
Journal:  Comput Biol Med       Date:  2022-03-23       Impact factor: 6.698

  3 in total

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