Your browser doesn't support javascript.
loading
LambdaPP: Fast and accessible protein-specific phenotype predictions.
Olenyi, Tobias; Marquet, Céline; Heinzinger, Michael; Kröger, Benjamin; Nikolova, Tiha; Bernhofer, Michael; Sändig, Philip; Schütze, Konstantin; Littmann, Maria; Mirdita, Milot; Steinegger, Martin; Dallago, Christian; Rost, Burkhard.
Afiliação
  • Olenyi T; TUM (Technical University of Munich) Department of Informatics, Bioinformatics- & Computational Biology-i12, Garching, Germany.
  • Marquet C; TUM Graduate School, Center of Doctoral Studies in Informatics and its Applications (CeDoSIA), Garching, Germany.
  • Heinzinger M; TUM (Technical University of Munich) Department of Informatics, Bioinformatics- & Computational Biology-i12, Garching, Germany.
  • Kröger B; TUM Graduate School, Center of Doctoral Studies in Informatics and its Applications (CeDoSIA), Garching, Germany.
  • Nikolova T; TUM (Technical University of Munich) Department of Informatics, Bioinformatics- & Computational Biology-i12, Garching, Germany.
  • Bernhofer M; TUM Graduate School, Center of Doctoral Studies in Informatics and its Applications (CeDoSIA), Garching, Germany.
  • Sändig P; TUM (Technical University of Munich) Department of Informatics, Bioinformatics- & Computational Biology-i12, Garching, Germany.
  • Schütze K; TUM (Technical University of Munich) Department of Informatics, Bioinformatics- & Computational Biology-i12, Garching, Germany.
  • Littmann M; TUM Graduate School, Center of Doctoral Studies in Informatics and its Applications (CeDoSIA), Garching, Germany.
  • Mirdita M; TUM (Technical University of Munich) Department of Informatics, Bioinformatics- & Computational Biology-i12, Garching, Germany.
  • Steinegger M; TUM (Technical University of Munich) Department of Informatics, Bioinformatics- & Computational Biology-i12, Garching, Germany.
  • Dallago C; TUM (Technical University of Munich) Department of Informatics, Bioinformatics- & Computational Biology-i12, Garching, Germany.
  • Rost B; School of Biological Sciences, Seoul National University, Seoul, South Korea.
Protein Sci ; 32(1): e4524, 2023 01.
Article em En | MEDLINE | ID: mdl-36454227
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Proteínas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Protein Sci Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Proteínas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Protein Sci Ano de publicação: 2023 Tipo de documento: Article