AlphaFold2 Workflow Optimization for High Throughput Predictions in HPC Environment

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Abstract

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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Posada, E. F., McGee, F., Berger, R., Dorrell, M., Lamanna, J., Sanielevici, S., & Carnevale, V. (2022). AlphaFold2 Workflow Optimization for High Throughput Predictions in HPC Environment. In PEARC 2022 Conference Series - Practice and Experience in Advanced Research Computing 2022 - Revolutionary: Computing, Connections, You. Association for Computing Machinery, Inc. https://doi.org/10.1145/3491418.3535181

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