EpitopeVec: linear epitope prediction using deep protein sequence embeddings.

Bahai, Akash; Asgari, Ehsaneddin; Mofrad, Mohammad R K; Kloetgen, Andreas; McHardy, Alice C

Bahai, Akash; Asgari, Ehsaneddin; Mofrad, Mohammad R K; Kloetgen, Andreas; McHardy, Alice C.

Afiliación

Bahai A; Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig 38124, Germany.
Asgari E; Braunschweig Integrated Center of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig 38106, Germany.
Mofrad MRK; Computational Biology of Infection Research, Helmholtz Center for Infection Research, Braunschweig 38124, Germany.
Kloetgen A; Molecular Cell Biomechanics Laboratory, Department of Bioengineering and Mechanical Engineering, University of California, Berkeley, CA 94720, USA.
McHardy AC; Molecular Cell Biomechanics Laboratory, Department of Bioengineering and Mechanical Engineering, University of California, Berkeley, CA 94720, USA.

Bioinformatics ; 37(23): 4517-4525, 2021 12 07.

Article en En | MEDLINE | ID: mdl-34180989

Asunto(s)

Antígenos; Péptidos; Secuencia de Aminoácidos; Péptidos/química; Antígenos/química; Programas Informáticos; Epítopos de Linfocito B/química

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Péptidos / Antígenos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Alemania

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