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AutoHMD: Scalable and Accurate Validation of Antibody-Antigen Complexes by Heated Molecular Dynamics.
Bioinformatics · · Journal Article
Souza, Albuquerque + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Heated molecular dynamics (HMD) with AutoHMD accurately discriminates near-native antibody-antigen binding poses, achieving 90% accuracy with a mean iRMSD cutoff of approximately 2.5 Å.
- Why it matters: Accurate structural characterization of antibody-antigen complexes is crucial for immune recognition and therapeutic design, but existing static scoring methods struggle to distinguish near-native conformations due to the dynamic nature of interfaces.
- What they did: The study evaluated HMD as a dynamic validation approach across diverse antibody-antigen complexes, using automated workflows and multiple simulation replicates to assess pose stability under thermal perturbation.
- The result: AutoHMD effectively separates high-quality from incorrect poses by analyzing interface stability, with increased replicates improving classification consistency, supporting its application in structural bioinformatics and biopharmaceutical development.
The findingWhy it mattersWhat they didThe result