ProtNHF: Neural Hamiltonian Flows for Controllable Protein Sequence Generation

DOE Oak Ridge National Laboratory (ORNL) Repository 2026 Dataset Open access

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Authors: Bharath Raghavan, David O. Williams Rogers
DOI: 10.13139/olcf/3019470
Cited by: 0

Abstract

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.

Fields of Study & Subjects

Protein Structure and Dynamics Machine Learning in Bioinformatics Generative Adversarial Networks and Image Synthesis

Publication details

Journal / source
DOE Oak Ridge National Laboratory (ORNL) Repository
Publication date
27 February 2026
Language
EN
Document type
Dataset