Robust deep learning–based protein sequence design using ProteinMPNN
2022 · Science · 1,625 citations
https://doi.org/10.1126/science.add2187
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Neville P. Bethel
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Neville P. Bethel is an academic researcher from University of California San Diego. The author has contributed to research in topics: Protein Structure and Dynamics & RNA and protein synthesis mechanisms & Lipid Membrane Structure and Behavior. The author has an h-index of 17, co-authored 37 publications.
ORCID: 0000-0001-7576-9613Papers by this author
worksAtomistic insight into lipid translocation by a TMEM16 scramblase
2016 · Proceedings of the National Academy of Sciences · 125 citations
https://doi.org/10.1073/pnas.1607574113
Computational design of mechanically coupled axle-rotor protein assemblies
2022 · Science · 54 citations
https://doi.org/10.1126/science.abm1183
Modulation of FGF pathway signaling and vascular differentiation using designed oligomeric assemblies
2024 · Cell · 47 citations
https://doi.org/10.1016/j.cell.2024.05.025
Local structural flexibility drives oligomorphism in computationally designed protein assemblies
2025 · Nature Structural & Molecular Biology · 7 citations
https://doi.org/10.1038/s41594-025-01490-z
cryoEM_maps_models.tar.gz
2023 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.22233706
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