Intelligent computing power scheduling system and method for mRNA encoded protein structure prediction

Abstract

The application discloses an intelligent computing power scheduling system and method for mRNA coding protein structure prediction and electronic equipment, and relates to the technical field of protein structure prediction.The intelligent computing power scheduling system for mRNA coding protein structure prediction comprises an input and task management layer, which is used for acquiring and translating mRNA sequences to obtain atomic sub-tasks; an intelligent sensing and scheduling core layer, which is connected with the input and task management layer and is used for generating corresponding optimization scheduling decisions according to the atomic sub-tasks; a heterogeneous computing power resource layer, which is connected with the intelligent sensing and scheduling core layer and is used for performing classical calculation and / or quantum calculation according to the optimization scheduling decisions to obtain corresponding classical calculation results and / or quantum calculation results; and an output and optimization layer, which is connected with the heterogeneous computing power resource layer and is used for generating a protein 3D structure model according to the classical calculation results and / or quantum calculation results.The system can improve the accuracy and efficiency of protein structure prediction results and improve the utilization rate of computing power resources.

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