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POSB422 Machine Learning-Based Virtual Screening, Molecular Docking and Drug-Likeness to Discover New Inhibitors of the Glycoprotein Spike (S1) of SARS-CoV-2
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769606/ http://dx.doi.org/10.1016/j.jval.2021.11.1333 |
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author | Cobre, AF Junkert, A Fachi, MM Böger, B Surek, M Wiens, A Tonin, F Pontarolo, R |
author_facet | Cobre, AF Junkert, A Fachi, MM Böger, B Surek, M Wiens, A Tonin, F Pontarolo, R |
author_sort | Cobre, AF |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8769606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87696062022-01-20 POSB422 Machine Learning-Based Virtual Screening, Molecular Docking and Drug-Likeness to Discover New Inhibitors of the Glycoprotein Spike (S1) of SARS-CoV-2 Cobre, AF Junkert, A Fachi, MM Böger, B Surek, M Wiens, A Tonin, F Pontarolo, R Value Health Article Published by Elsevier Inc. 2022-01 2022-01-19 /pmc/articles/PMC8769606/ http://dx.doi.org/10.1016/j.jval.2021.11.1333 Text en Copyright © 2021 Published by Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Cobre, AF Junkert, A Fachi, MM Böger, B Surek, M Wiens, A Tonin, F Pontarolo, R POSB422 Machine Learning-Based Virtual Screening, Molecular Docking and Drug-Likeness to Discover New Inhibitors of the Glycoprotein Spike (S1) of SARS-CoV-2 |
title | POSB422 Machine Learning-Based Virtual Screening, Molecular Docking and Drug-Likeness to Discover New Inhibitors of the Glycoprotein Spike (S1) of SARS-CoV-2 |
title_full | POSB422 Machine Learning-Based Virtual Screening, Molecular Docking and Drug-Likeness to Discover New Inhibitors of the Glycoprotein Spike (S1) of SARS-CoV-2 |
title_fullStr | POSB422 Machine Learning-Based Virtual Screening, Molecular Docking and Drug-Likeness to Discover New Inhibitors of the Glycoprotein Spike (S1) of SARS-CoV-2 |
title_full_unstemmed | POSB422 Machine Learning-Based Virtual Screening, Molecular Docking and Drug-Likeness to Discover New Inhibitors of the Glycoprotein Spike (S1) of SARS-CoV-2 |
title_short | POSB422 Machine Learning-Based Virtual Screening, Molecular Docking and Drug-Likeness to Discover New Inhibitors of the Glycoprotein Spike (S1) of SARS-CoV-2 |
title_sort | posb422 machine learning-based virtual screening, molecular docking and drug-likeness to discover new inhibitors of the glycoprotein spike (s1) of sars-cov-2 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769606/ http://dx.doi.org/10.1016/j.jval.2021.11.1333 |
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