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Protein-protein Interfaces

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...

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Related Experiment Video

Updated: Jun 12, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

Using graphics processors to accelerate protein docking calculations.

David W Ritchie¹, Vishwesh Venkatraman, Lazaros Mavridis

¹Orpailleur Team, INRIA Nancy - Grand Est, LORIA, 615 Rue du Jardin Botanique, 54506 Vandoeuvre-lès-Nancy, France.

Studies in Health Technology and Informatics

|June 15, 2010

Summary

This summary is machine-generated.

Accelerating protein docking calculations is crucial for structural biology. This study enhances the Hex algorithm using graphics processors (GPUs), reducing computation time from hours to seconds for rigid-body protein complex structure prediction.

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Related Experiment Videos

Last Updated: Jun 12, 2026

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis

Published on: June 20, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

Area of Science:

Computational biology
Structural bioinformatics
Biophysics

Background:

Protein docking predicts protein complex structures, a computationally demanding process.
Current rigid-body docking algorithms often require significant computational resources.
The Fast Fourier Transform (FFT)-based Hex algorithm is an established method for protein docking.

Purpose of the Study:

To adapt the FFT-based Hex rigid-body docking algorithm for utilization on modern graphics processors (GPUs).
To significantly accelerate protein docking calculations through GPU acceleration.
To make the enhanced Hex algorithm publicly accessible.

Main Methods:

Implementation of the Hex rigid-body docking algorithm on graphics processing units (GPUs).
Leveraging the parallel processing capabilities of GPUs to speed up FFT-based calculations.
Benchmarking the performance of the GPU-accelerated Hex algorithm against traditional CPU-based implementations.

Main Results:

Significant speed-ups achieved by adapting the Hex algorithm for GPUs.
Docking calculations that previously took hours on CPUs can now be completed in seconds using GPUs.
Demonstrated the feasibility and efficiency of GPU acceleration for FFT-based protein docking.

Conclusions:

GPU acceleration dramatically enhances the speed of rigid-body protein docking using the Hex algorithm.
The optimized Hex algorithm offers a substantial improvement in computational efficiency for predicting protein complex structures.
The Hex docking program and a GPU-accelerated server are publicly available, facilitating research in structural biology.