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Cell-Dock: high-performance protein-protein docking.

Carles Pons¹, Daniel Jiménez-González, Cecilia González-Álvarez

¹Joint BSC-IRB research programme in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain.

Bioinformatics (Oxford, England)

|July 21, 2012

Summary

This summary is machine-generated.

Cell-Dock, a new algorithm using fast Fourier transform (FFT) approaches, accelerates molecular docking simulations. This FFT-based docking tool achieves over 200x speedups compared to FTDock, offering similar quality results.

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Area of Science:

Structural bioinformatics
Computational chemistry
High-performance computing

Background:

Molecular docking is crucial for drug discovery and structural bioinformatics.
Existing fast Fourier transform (FFT) based docking methods require significant computational resources.
Hardware acceleration is key to reducing computational costs in docking tools.

Purpose of the Study:

To develop and evaluate Cell-Dock, an FFT-based molecular docking algorithm optimized for the Cell BE processor.
To demonstrate the performance improvements of Cell-Dock over existing docking software.

Main Methods:

Implementation of an FFT-based docking algorithm tailored for the Cell BE architecture.
Benchmarking Cell-Dock against FTDock using standard datasets.
Analysis of computational speed and accuracy of the docking results.

Main Results:

Cell-Dock achieves significant speedups, exceeding 200x compared to FTDock.
The algorithm maintains a similar level of accuracy in docking predictions.
The Cell BE processor effectively accelerates FFT-based docking computations.

Conclusions:

Cell-Dock offers a substantial computational advantage for large-scale molecular docking experiments.
The Cell BE processor provides effective hardware acceleration for FFT-based docking.
Further development in structural bioinformatics requires efficient algorithms and substantial computing power.