AlphaFold predictions of fold-switched conformations are driven by structure memorization
- 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
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AlphaFold predictions of fold-switched conformations are driven by structure memorization ; volume:15 ; number:1 ; day:24 ; month:8 ; year:2024 ; pages:1-13 ; date:12.2024
Nature Communications ; 15, Heft 1 (24.8.2024), 1-13, 12.2024
- Urheber
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Chakravarty, Devlina
Schafer, Joseph W.
Chen, Ethan A.
Thole, Joseph F.
Ronish, Leslie A.
Lee, Myeongsang
Porter, Lauren L.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41467-024-51801-z
- URN
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urn:nbn:de:101:1-2411121036204.643559182116
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:33 MESZ
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Beteiligte
- Chakravarty, Devlina
- Schafer, Joseph W.
- Chen, Ethan A.
- Thole, Joseph F.
- Ronish, Leslie A.
- Lee, Myeongsang
- Porter, Lauren L.
- SpringerLink (Online service)
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Highly accurate protein structure prediction with AlphaFold
Ableger : = Lessening fold
Vocal fold paralysis
AlphaFill: enriching AlphaFold models with ligands and cofactors
Inferring molecular inhibition potency with AlphaFold predicted structures
Benchmarking AlphaFold ‐enabled molecular docking predictions for antibiotic discovery
Unmasking AlphaFold to integrate experiments and predictions in multimeric complexes
MassiveFold: unveiling AlphaFold’s hidden potential with optimized and parallelized massive sampling
DescFold: A web server for protein fold recognition
FoldHSphere: deep hyperspherical embeddings for protein fold recognition
AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination
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Vocal fold paralysis
AlphaFill: enriching AlphaFold models with ligands and cofactors