Protein remote homology detection and structural alignment using deep learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
-
Protein remote homology detection and structural alignment using deep learning ; day:7 ; month:9 ; year:2023 ; pages:1-11
Nature biotechnology ; (7.9.2023), 1-11
- Klassifikation
-
Biowissenschaften, Biologie
- Urheber
-
Hamamsy, Tymor
Morton, James T.
Blackwell, Robert
Berenberg, Daniel
Carriero, Nicholas
Gligorijevic, Vladimir
Strauss, Charlie E. M.
Leman, Julia Koehler
Cho, Kyunghyun
Bonneau, Richard
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1038/s41587-023-01917-2
- URN
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urn:nbn:de:101:1-2023122316121785465792
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 MESZ
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Beteiligte
- Hamamsy, Tymor
- Morton, James T.
- Blackwell, Robert
- Berenberg, Daniel
- Carriero, Nicholas
- Gligorijevic, Vladimir
- Strauss, Charlie E. M.
- Leman, Julia Koehler
- Cho, Kyunghyun
- Bonneau, Richard
- SpringerLink (Online service)
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