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NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning.
Høie, Magnus Haraldson; Kiehl, Erik Nicolas; Petersen, Bent; Nielsen, Morten; Winther, Ole; Nielsen, Henrik; Hallgren, Jeppe; Marcatili, Paolo.
  • Høie MH; Department of Health Technology, Technical University of Denmark, DK Lyngby, Denmark.
  • Kiehl EN; Department of Health Technology, Technical University of Denmark, DK Lyngby, Denmark.
  • Petersen B; Center for Evolutionary Hologenomics, GLOBE Institute, University of Copenhagen, Denmark.
  • Nielsen M; Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio), Faculty of Applied Sciences, AIMST University, Kedah, Malaysia.
  • Winther O; Department of Health Technology, Technical University of Denmark, DK Lyngby, Denmark.
  • Nielsen H; Section for Cognitive Systems, DTU Compute, Technical University of Denmark (DTU), Denmark.
  • Hallgren J; Center for Genomic Medicine, Rigshospitalet (Copenhagen University Hospital), Copenhagen, Denmark.
  • Marcatili P; Department of Biology, Bioinformatics Centre, University of Copenhagen, Copenhagen, Denmark.
Nucleic Acids Res ; 50(W1): W510-W515, 2022 07 05.
Article en En | MEDLINE | ID: mdl-35648435
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Proteínas / Estructura Secundaria de Proteína / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Lenguaje Natural / Proteínas / Estructura Secundaria de Proteína / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article