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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.
SUBMITTER: MacCarthy EA
PROVIDER: S-EPMC8896630 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature
MacCarthy Elijah A EA Zhang Chengxin C Zhang Yang Y Kc Dukka B DB
Bioinformatics (Oxford, England) 20220301 6
<h4>Motivation</h4>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.<h4>Results</h4>We present I-TASSER for Graph ...[more]