Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1546-1696
- 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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Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning ; volume:40 ; number:10 ; day:23 ; month:5 ; year:2022 ; pages:1520-1527 ; date:10.2022
Nature biotechnology ; 40, Heft 10 (23.5.2022), 1520-1527, 10.2022
- Urheber
-
Rube, H. Tomas
Rastogi, Chaitanya
Feng, Siqian
Kribelbauer, Judith F.
Li, Allyson
Becerra, Basheer
Melo, Lucas A. N.
Do, Bach Viet
Li, Xiaoting
Adam, Hammaad H.
Shah, Neel H.
Mann, Richard S.
Bussemaker, Harmen J.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41587-022-01307-0
- URN
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urn:nbn:de:101:1-2022122321080867227926
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
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Beteiligte
- Rube, H. Tomas
- Rastogi, Chaitanya
- Feng, Siqian
- Kribelbauer, Judith F.
- Li, Allyson
- Becerra, Basheer
- Melo, Lucas A. N.
- Do, Bach Viet
- Li, Xiaoting
- Adam, Hammaad H.
- Shah, Neel H.
- Mann, Richard S.
- Bussemaker, Harmen J.
- SpringerLink (Online service)
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