ProtNHF: Neural Hamiltonian Flows for Controllable Protein Sequence Generation
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Bharath Raghavan | Oak Ridge National Laboratory
David Rogers | Oak Ridge National Laboratory
Description
This dataset accompanies the publication "ProtNHF: Neural Hamiltonian Flows for Controllable Protein Sequence Generation". This paper introduces a new AI model for protein sequence generation. This dataset contains data related to experiments discussed in the publication. This includes generated sequences and evaluation metrics supporting all unconditional and bias-controlled experiments in the ProtNHF paper.
Funding Information
DOE Contract Number
AC05-00OR22725Originating Research Organization
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)Sponsoring Organization
Office of Science (SC)Related Works
- IsSourceOf (URL): https://doi.org/10.64898/2026.03.04.709305
Details
Release Date
February 27, 2026Subject
60 APPLIED LIFE SCIENCESDataset
Dataset Type
AS Animations/SimulationsCite This Dataset:
Raghavan, B., Rogers, D. (2026). ProtNHF: Neural Hamiltonian Flows for Controllable Protein Sequence Generation. Oak Ridge National Laboratory. https://doi.org/10.13139/OLCF/3019470.
Acknowledgements
This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Advanced Scientific Computing Research programs in the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.