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GPU-I-TASSER: a GPU accelerated I-TASSER protein structure prediction tool.

Elijah A MacCarthy1, Chengxin Zhang2, Yang Zhang2

  • 1Department of Mathematics, Lane College, Jackson, TN 38301, USA.

Bioinformatics (Oxford, England)
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Summary

We developed GPU-I-TASSER, a faster protein structure prediction tool. This graphics processing unit (GPU) accelerated method achieves a 10x speedup for protein structure modeling with comparable accuracy.

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Area of Science:

  • Computational biology
  • Structural bioinformatics

Background:

  • Accurate protein structure prediction is crucial for understanding protein function.
  • The Iterative Threading Assembly Refinement (I-TASSER) method is a leading tool for protein structure prediction.
  • Computational efficiency limits the large-scale application of I-TASSER.

Purpose of the Study:

  • To enhance the computational efficiency of I-TASSER for large-scale protein structure modeling.
  • To develop a GPU-accelerated version of I-TASSER for faster predictions.

Main Methods:

  • Implementation of GPU-I-TASSER using OpenACC for parallelization.
  • Leveraging replica-exchange Monte Carlo simulations on GPU architecture.
  • Benchmarking on a dataset of 71 protein structures.

Main Results:

  • GPU-I-TASSER achieves an average 10x speedup compared to the CPU version.
  • The prediction accuracy of GPU-I-TASSER is comparable to the CPU version.
  • The tool demonstrates enhanced capabilities for protein structure prediction.

Conclusions:

  • GPU-I-TASSER significantly improves the speed of protein structure prediction.
  • The GPU-accelerated tool maintains high accuracy, making it suitable for large-scale modeling.
  • The source code is freely available for unrestricted use.