Residue-level error detection in cryoelectron microscopy models.

Reggiano, Gabriella; Lugmayr, Wolfgang; Farrell, Daniel; Marlovits, Thomas C; DiMaio, Frank

Reggiano, Gabriella; Lugmayr, Wolfgang; Farrell, Daniel; Marlovits, Thomas C; DiMaio, Frank.

Afiliação

Reggiano G; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA.
Lugmayr W; University Medical Center Hamburg-Eppendorf (UKE), Institute of Structural and Systems Biology, Hamburg, Germany; CSSB Centre for Structural Systems Biology, Hamburg, Germany; Deutsches Elektronen Synchrotron (DESY), Hamburg, Germany.
Farrell D; Cyrus Biotechnology, Seattle, WA 98121, USA.
Marlovits TC; University Medical Center Hamburg-Eppendorf (UKE), Institute of Structural and Systems Biology, Hamburg, Germany; CSSB Centre for Structural Systems Biology, Hamburg, Germany; Deutsches Elektronen Synchrotron (DESY), Hamburg, Germany.
DiMaio F; Department of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA. Electronic address: dimaio@uw.edu.

Structure ; 31(7): 860-869.e4, 2023 07 06.

Article em En | MEDLINE | ID: mdl-37253357

Assuntos

Aprendizado de Máquina; Proteínas; Conformação Proteica; Microscopia Crioeletrônica/métodos; Modelos Moleculares; Proteínas/química

Palavras-chave

cryoelectron microscopy; machine learning; model building; protein model validation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Structure Assunto da revista: BIOLOGIA MOLECULAR / BIOQUIMICA / BIOTECNOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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