A machine learning method for calculating highly localized protein stabilities

Nature Communications 2026 Open access

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Authors: Chenlin Lu, Kyle C. Weber, Savannah K. McBride, Andrew Reckers, Anum Azam Glasgow
DOI: 10.1038/s41467-026-75590-9
Cited by: 1

Abstract

Abstract The residue-level free energy of opening (∆G op ) is the thermodynamic descriptor of localized protein stability, providing valuable information about the protein ensemble at physiologically relevant timescales and conditions. PFNet instantly determines ∆G op for arbitrarily large proteins and complexes from conventional peptide-level hydrogen exchange-mass spectrometry (HX-MS) datasets. It unlocks the full potential of HX-MS, democratizing the method and establishing quantitative, scalable and accessible analysis.

Fields of Study & Subjects

Protein Structure and Dynamics Machine Learning in Bioinformatics Genetics Bioinformatics and Biomedical Research

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Publication date
1 September 2026
Language
EN