高性能计算在药物发现中的重要性。

Jed W Pitera
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引用次数: 0

摘要

目前有许多趋势被用来重塑高性能计算领域,包括多核系统、加速器和大规模本质上并行应用程序的软件框架。这些趋势与计算化学的最新发展相交叉,为计算机辅助药物发现提供了新的能力。虽然本文主要关注分子建模和生物分子模拟的应用领域,但这些计算变化与其他计算密集型任务相关,如仪器数据处理和化学信息学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Current developments in and importance of high-performance computing in drug discovery.

A number of current trends that are being adopted to reshape the field of high-performance computing exist, including multi-core systems, accelerators, and software frameworks for large-scale intrinsically parallel applications. These trends intersect with recent developments in computational chemistry to provide new capabilities for computer-aided drug discovery. Although this review focuses primarily on the application domains of molecular modeling and biomolecular simulation, these computing changes are relevant for other computationally intensive tasks, such as instrument data processing and chemoinformatics.

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