DESTINI: A deep-learning approach to contact-driven protein structure prediction
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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DESTINI: A deep-learning approach to contact-driven protein structure prediction ; volume:9 ; number:1 ; day:5 ; month:3 ; year:2019 ; pages:1-13 ; date:12.2019
Scientific reports ; 9, Heft 1 (5.3.2019), 1-13, 12.2019
- Urheber
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Gao, Mu
Zhou, Hongyi
Skolnick, Jeffrey
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-019-40314-1
- URN
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urn:nbn:de:101:1-2019032417192637136458
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:57 MESZ
Datenpartner
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Beteiligte
- Gao, Mu
- Zhou, Hongyi
- Skolnick, Jeffrey
- SpringerLink (Online service)
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