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GPU-I-TASSER: a GPU accelerated I-TASSER protein structure prediction tool
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Abstract
Motivation
Accurate and efficient predictions of protein structures play an important role in understanding their functions. Iterative Threading Assembly Refinement (I-TASSER) is one of the most successful and widely used protein structure prediction methods in the recent community-wide CASP experiments. Yet, the computational efficiency of I-TASSER is one of the limiting factors that prevent its application for large-scale structure modeling.
Results
We present I-TASSER for Graphics Processing Units (GPU-I-TASSER), a GPU accelerated I-TASSER protein structure prediction tool for fast and accurate protein structure prediction. Our implementation is based on OpenACC parallelization of the replica-exchange Monte Carlo simulations to enhance the speed of I-TASSER by extending its capabilities to the GPU architecture. On a benchmark dataset of 71 protein structures, GPU-I-TASSER achieves on average a 10× speedup with comparable structure prediction accuracy compared to the CPU version of the I-TASSER.
Availability and implementation
The complete source code for GPU-I-TASSER can be downloaded and used without restriction from https://zhanggroup.org/GPU-I-TASSER/.
Supplementary information
Supplementary data are available at Bioinformatics online.
Oxford University Press (OUP)
Title: GPU-I-TASSER: a GPU accelerated I-TASSER protein structure prediction tool
Description:
Abstract
Motivation
Accurate and efficient predictions of protein structures play an important role in understanding their functions.
Iterative Threading Assembly Refinement (I-TASSER) is one of the most successful and widely used protein structure prediction methods in the recent community-wide CASP experiments.
Yet, the computational efficiency of I-TASSER is one of the limiting factors that prevent its application for large-scale structure modeling.
Results
We present I-TASSER for Graphics Processing Units (GPU-I-TASSER), a GPU accelerated I-TASSER protein structure prediction tool for fast and accurate protein structure prediction.
Our implementation is based on OpenACC parallelization of the replica-exchange Monte Carlo simulations to enhance the speed of I-TASSER by extending its capabilities to the GPU architecture.
On a benchmark dataset of 71 protein structures, GPU-I-TASSER achieves on average a 10× speedup with comparable structure prediction accuracy compared to the CPU version of the I-TASSER.
Availability and implementation
The complete source code for GPU-I-TASSER can be downloaded and used without restriction from https://zhanggroup.
org/GPU-I-TASSER/.
Supplementary information
Supplementary data are available at Bioinformatics online.
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