AlphaFold2 in Molecular Discovery

JOURNAL OF CHEMICAL INFORMATION AND MODELING(2023)

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ADVERTISEMENT RETURN TO ISSUEEditorialNEXTAlphaFold2 in Molecular DiscoveryAriane Nunes-Alves*Ariane Nunes-AlvesInstitute of Chemistry, Technische Universität Berlin, Berlin 10623, Germany*Ariane Nunes Alves - Institute of Chemistry, Technische Universität Berlin, Berlin 10623, Germany; email: [email protected]More by Ariane Nunes-Alveshttps://orcid.org/0000-0002-5488-4732 and Kenneth MerzKenneth MerzDepartment of Chemistry, Michigan State University, East Lansing 48824, Michigan, United StatesMore by Kenneth Merzhttps://orcid.org/0000-0001-9139-5893Cite this: J. Chem. Inf. Model. 2023, 63, 19, 5947–5949Publication Date (Web):October 9, 2023Publication History Received11 September 2023Published online9 October 2023Published inissue 9 October 2023https://doi.org/10.1021/acs.jcim.3c01459Copyright © 2023 American Chemical SocietyRequest reuse permissions This publication is free to access through this site. Learn MoreArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (929 KB) Get e-AlertscloseSUBJECTS:Computational modeling,Drug discovery,Homology,Molecular structure,Protein structure Get e-Alerts
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