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Published on: January 11, 2017
DynaPIN: A tool for characterizing dynamic protein interfaces.
Ayşe Berçin Barlas1, Atakan Özsan2, Chantal Prévost3
1Computational Structural Biology Lab., Izmir Biomedicine and Genome Center, Balçova, Izmir 35340, Türkiye; Izmir International Biomedicine and Genome Institute, Dokuz Eylul University, Balçova, Izmir 35340, Türkiye.
Journal of Molecular Biology
|July 7, 2026
Summary
DynaPIN is a new tool that analyzes protein interactions using molecular simulations. It reveals how protein interfaces change over time, offering insights into biological function and improving AI models.
Area of Science:
- Computational biology
- Structural biology
- Biophysics
Background:
- Static models inadequately represent dynamic protein interactions.
- Understanding protein interface dynamics is crucial for drug discovery and systems biology.
Purpose of the Study:
- Introduce DynaPIN, an open-source pipeline for dynamic interface fingerprint extraction.
- Provide a standardized workflow for analyzing protein complex dynamics from molecular simulations.
Main Methods:
- Developed DynaPIN, an automated pipeline integrating quality control, interface accuracy, and atomistic interaction analysis.
- Defined dynamic interfaces based on residue persistence during simulations.
- Applied DynaPIN to the DynaBench dataset, evaluating rigid, medium, and difficult protein targets.
Main Results:
- Interface flexibility analysis using DynaPIN diverges from traditional docking difficulty classifications.
- Dynamic descriptors generated by DynaPIN correlate with the biological roles of protein complexes.
- Demonstrated the utility of DynaPIN for mechanistic insights and dataset generation for AI.
Conclusions:
- DynaPIN offers a novel approach to characterizing dynamic protein-protein interactions.
- The tool provides frame-resolved outputs for deeper mechanistic understanding.
- DynaPIN facilitates the development of dynamics-aware artificial intelligence models for biological systems.
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