Predicting protein network topology clusters from chemical structure using deep learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1758-2946
- 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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Predicting protein network topology clusters from chemical structure using deep learning ; volume:14 ; number:1 ; day:15 ; month:7 ; year:2022 ; pages:1-12 ; date:12.2022
Journal of cheminformatics ; 14, Heft 1 (15.7.2022), 1-12, 12.2022
- Urheber
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Sreenivasan, Akshai P.
Harrison, Philip J.
Schaal, Wesley
Matuszewski, Damian J.
Kultima, Kim
Spjuth, Ola
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s13321-022-00622-7
- URN
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urn:nbn:de:101:1-2022092102094075442759
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:22 MESZ
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Beteiligte
- Sreenivasan, Akshai P.
- Harrison, Philip J.
- Schaal, Wesley
- Matuszewski, Damian J.
- Kultima, Kim
- Spjuth, Ola
- SpringerLink (Online service)
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