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The AlphaFold Database of Protein Structures: A Biologist's Guide.
David, Alessia; Islam, Suhail; Tankhilevich, Evgeny; Sternberg, Michael J E.
Afiliação
  • David A; Centre for Integrative System Biology and Bioinformatics, Department of Life Sciences, Imperial College London, London SW7 2AZ, UK. Electronic address: alessia.david09@imperial.ac.uk.
  • Islam S; Centre for Integrative System Biology and Bioinformatics, Department of Life Sciences, Imperial College London, London SW7 2AZ, UK.
  • Tankhilevich E; Centre for Integrative System Biology and Bioinformatics, Department of Life Sciences, Imperial College London, London SW7 2AZ, UK.
  • Sternberg MJE; Centre for Integrative System Biology and Bioinformatics, Department of Life Sciences, Imperial College London, London SW7 2AZ, UK.
J Mol Biol ; 434(2): 167336, 2022 01 30.
Article em En | MEDLINE | ID: mdl-34757056
AlphaFold, the deep learning algorithm developed by DeepMind, recently released the three-dimensional models of the whole human proteome to the scientific community. Here we discuss the advantages, limitations and the still unsolved challenges of the AlphaFold models from the perspective of a biologist, who may not be an expert in structural biology.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Conformação Proteica / Dobramento de Proteína / Aprendizado Profundo Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Conformação Proteica / Dobramento de Proteína / Aprendizado Profundo Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article