PHENOMS: Open-Source Software for Rust-Accelerated Hydrogen-Bond Analysis in Molecular Dynamics Simulations
Hydrogen-deuterium exchange mass spectrometry (HDX-MS) provides powerful insight into protein structure and dynamics, but interpretation of protection patterns at atomic resolution often requires complementary computational modeling. We present PHENOMS, an open-source Python package that integrates molecular dynamics trajectories with HDX-MS data to analyze backbone hydrogen-bond networks by tracking how individual hydrogen bonds and residue-residue contacts form, break, and reorganize throughout the simulations. This residue-level analysis can reveal local structural changes that may be missed by conventional global trajectory metrics. PHENOMS employs a multithreaded, Rust-accelerated computational engine that achieved an average 16-fold speedup (up to 100-fold) over widely used Python-based MD analysis packages in our benchmarks, while retaining individual hydrogen-bond resolution in every trajectory frame. We demonstrate PHENOMS through multiple retrospective case studies using published and in-house datasets, showing that it can recapitulate HDX-MS protection patterns, identify key residues that drive coordinated structural changes, and benchmark the computational efficiency of the approach. With automated quality-control workflows, PHENOMS provides a framework for integrating hydrogen-bond analysis with HDX-MS data or serves as a standalone, high-throughput tool for analyzing MD trajectories for broader applications in protein engineering, drug discovery, and structural biology.
Authors
- John Sondek (ORCID: https://orcid.org/0000-0002-1127-8310)
- Brenda R. S. Temple (ORCID: https://orcid.org/0000-0002-9233-0191)
- Evgeniy V. Petrotchenko (ORCID: https://orcid.org/0000-0003-3612-9546)
- Brandon Novy (ORCID: https://orcid.org/0000-0001-5304-2640)
- Nicole Hajicek (ORCID: https://orcid.org/0000-0001-7457-4830)
- Christoph H. Borchers (ORCID: https://orcid.org/0000-0003-2394-6512)
- Shu-Hang Lin (ORCID: https://orcid.org/0000-0002-1034-0223)
- Konstantin I. Popov (ORCID: https://orcid.org/0000-0002-9394-972X)
- Rishabh Dey
Institutions
- University of North Carolina at Chapel Hill (US)
- McGill University (CA)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-10-30
- DOI
- https://doi.org/10.64898/2026.10.26.761768
- Primary Topic
- Protein Structure and Dynamics
- Type
- preprint
Funders
- National Institutes of Health