The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
MassiveFold: unveiling AlphaFold’s hidden potential with optimized and parallelized massive sampling
Open accessPreprint — published as 10.1038/s43588-024-00714-4 · Paper page
Abstract
Massive sampling in AlphaFold enables access to increased structural diversity; in combination with its powerful confidence ranking, this unlocks elevated modeling capabilities for monomeric structures and foremost for protein assemblies. However, the approach struggles with GPU cost and data storage. MassiveFold removes these restraints as an optimized and customizable version of AlphaFold that runs predictions in parallel, offering the full benefit of enhanced sampling for protein structure and assembly modeling.
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Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
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Metadata
- Authors
- Raouraoua, N., Mirabello, C., Véry, T., Blanchet, C., Wallner, B., Lensink, M., & Brysbaert, G.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Linköping University (SE)
- Linköping University
- Corresponding author
- Brysbaert, Guillaume
- Venue
- Nature Computational Science
- Published
- 2024-04-30
- Volume
- 4
- Issue
- 11
- Pages
- 824-828
- ISSN
- 2662-8457 (ISSN-L)
- PMC
- PMC11578886
- OpenAlex
- W4404224798
- Cited by
- 51
- References
- 1
- Citations by year
- 2026: 15 · 2025: 34 · 2024: 2
- FWCI
- 6.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Computational Science (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- DiVA (Linkoping University) (submittedVersion, other-oa)
- LillOA (Université de Lille (University Of Lille)) (submittedVersion)
- Funders
- Institut Français de Bioinformatique (ANR-11-INBS-0013)
- Agence Nationale de la Recherche (ANR-11-INBS, ANR-21-ESRE-0048, ANR-11-INBS-0013)
- Knut och Alice Wallenbergs Stiftelse
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Keywords
- AlphaFold, protein structure prediction, parallel computing, GPU acceleration, protein assembly, structural diversity, monomeric protein
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