119596 20230519145540.0 doi 10.26508/LSA.202000954 sideral 127039 ART-2021-127039 eng Bannerman B.P. Integrated human/SARS-CoV-2 metabolic models present novel treatment strategies against COVID-19 2021 Access copy available to the general public Unrestricted The coronavirus disease 2019 (COVID-19) pandemic caused by the new coronavirus (SARS-CoV-2) is currently responsible for more than 3 million deaths in 219 countries across the world and with more than 140 million cases. The absence of FDA-approved drugs against SARS-CoV-2 has highlighted an urgent need to design new drugs. We developed an integrated model of the human cell and SARS-CoV-2 to provide insight into the virus'' pathogenic mechanism and support current therapeutic strategies. We show the biochemical reactions required for the growth and general maintenance of the human cell, first, in its healthy state. We then demonstrate how the entry of SARS-CoV-2 into the human cell causes biochemical and structural changes, leading to a change of cell functions or cell death. A new computational method that predicts 20 unique reactions as drug targets from our models and provides a platform for future studies on viral entry inhibition, immune regulation, and drug optimisation strategies. The model is available in BioModels (https://www.ebi.ac.uk/biomodels/MODEL2007210001) and the software tool, findCPcli, that implements the computational method is available at https://github.com/findCP/findCPcli. © 2021 Bannerman et al. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 5.781 2021 BIOLOGY 17 / 94 = 0.181 2021 Q1 T1 2.318 2021 Biochemistry, Genetics and Molecular Biology (miscellaneous) 2021 Q1 Plant Science 2021 Q1 Ecology 2021 Q1 6.5 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Júlvez J. Universidad de Zaragoza (orcid)0000-0002-7093-228X Oarga A. Blundell T.L. Moreno P. Floto R.A. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 4, 10 (2021), e202000954 [13p] Life sci. alliance Life Science Alliance 2575-1077 2582865 http://zaguan.unizar.es/record/119596/files/texto_completo.pdf Versión publicada 3160791 http://zaguan.unizar.es/record/119596/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:119596 articulos driver 2023-05-18-15:40:16 ARTICLE