AlphaFold2 Workflow Optimization for High Throughput Predictions in HPC Environment

AlphaFold2 Workflow Optimization for High Throughput Predictions in HPC Environment
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用于 HPC 环境中高吞吐量预测的 AlphaFold2 工作流程优化

DOI:
10.1145/3491418.3535181
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发表时间:
2022
期刊:
PEARC '22: Practice and Experience in Advanced Research Computing
影响因子:
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通讯作者:
Carnevale, Vincenzo
Carnevale, Vincenzo
中科院分区:
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文献类型:
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作者:
Posada, Edwin Fernando;McGee, Francisco;Berger, Richard;Dorrell, Mitchell;Lamanna, Jason;Sanielevici, Sergiu;Carnevale, Vincenzo

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在这项工作中,我们提出了一种高吞吐量实现,可以在高性能计算环境中有效地执行AlphaFold 2。在这种情况下,我们已经测试了我们提出的工作流程与T1050 CASP 14序列PSC的桥梁-2 HPC系统。结果表明,在仅计算的运行时得到了改进,并且在同时计算许多结构时有机会重用蛋白质数据库,这将节省大量时间,同时最大限度地利用计算资源。
In this work, we propose a high-throughput implementation that executes AlphaFold2 efficiently in a High-Performance Computing environment. In this case, we have tested our proposed workflow with the T1050 CASP14 sequence on PSC’s Bridges-2 HPC system. The results showed an improvement in computation-only runtimes and the opportunity to reuse the protein databases when calculating many structures simultaneously, which would lead to massive time savings while maximizing the utilization of computing resources.
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