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Updated: May 16, 2025

Analyzing Protein Dynamics Using Hydrogen Exchange Mass Spectrometry

Analyzing Protein Dynamics Using Hydrogen Exchange Mass Spectrometry

Published on: November 29, 2013

HDXRank: A Deep Learning Framework for Ranking Protein Complex Predictions with Hydrogen-Deuterium Exchange Data.

Liyao Wang^1,2, Andrejs Tučs^1,2, Songting Ding¹

¹Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa 277-8561, Japan.

Journal of Chemical Theory and Computation

|May 14, 2025

Summary

This summary is machine-generated.

HDXRank, a new graph neural network (GNN) tool, uses hydrogen-deuterium exchange (HDX) data to accurately rank protein complex models. This method improves predictions for molecular recognition and biological mechanisms.

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Time-resolved ElectroSpray Ionization Hydrogen-deuterium Exchange Mass Spectrometry for Studying Protein Structure and Dynamics

Published on: April 17, 2017

Area of Science:

Structural biology
Computational biology
Biophysics

Background:

Accurate protein-protein complex structure modeling is crucial for understanding biological processes.
Hydrogen-deuterium exchange (HDX) experiments offer insights into protein binding interfaces.
Integrating HDX data into modeling can enhance prediction accuracy.

Purpose of the Study:

To develop HDXRank, a graph neural network (GNN)-based framework for ranking protein complex structures using HDX data.
To evaluate HDXRank's ability to improve the accuracy of protein complex modeling.

Main Methods:

Developed HDXRank, a GNN framework for candidate structure ranking based on HDX data alignment.
Trained HDXRank on a curated HDX dataset to capture local structural features.
Integrated HDXRank with existing modeling tools (rigid docking, AlphaFold).

Main Results:

HDXRank effectively ranks protein complex models by aligning with HDX experimental data.
The framework successfully prioritizes functionally relevant models.
HDXRank improved prediction quality across various protein targets.

Conclusions:

HDXRank offers a versatile approach to enhance protein complex modeling by incorporating HDX data.
This framework transforms HDX profile alignment into a valuable model quality metric.
HDXRank shows significant potential for advancing the study of molecular recognition.