生物科学中的超级计算:朝着泽塔尺度和约塔尺度的模拟
1Los Alamos National Laboratory, United States; New Mexico Consortium, New Mexico.
Current opinion in structural biology
|August 20, 2024
概括
分子模拟对生物系统需要巨大的计算能力,远远超过其他领域. 进步对于理解分子机器和药物设计至关重要,推动未来的计算需求.
科学领域:
- 计算生物学是一种计算生物学.
- 分子动力学分子动力学
- 生物物理学的生物物理.
背景情况:
- 在生物学中,由于静电力和广泛的时间步骤,分子模拟具有高度的计算密集性.
- 当前最先进的模拟达到微秒到毫秒,对于生理过程来说不够.
- 在相关的生理时间尺度 (秒到天) 上模拟生物系统仍然是一个重大的计算挑战.
研究的目的:
- 要突出生物系统中分子模拟的计算需求.
- 为了强调当前模拟能力与生理学上相关的时间尺度之间的差距.
- 强调生物科学的潜力,推动计算能力的进步.
主要方法:
- 对分子动力学模拟的计算要求的分析.
- 模拟时间表与生理时间表的比较.
- 用一个超级计算机示例来说明计算需求.
主要成果:
- 生物模拟比材料科学或天体物理学中的模拟更加苛刻.
- 即使是 exascale 计算机在模拟生理过程的过程中也没有足够的能力.
- 要模拟病毒3小时,需要增加100亿倍的速度.
结论:
- 在生物系统的分子模拟中,人们迫切需要增加计算能力.
- 越来越多的计算药物设计领域将生物科学定位为未来计算进步的关键驱动力.
- 弥合模拟和生理时间尺度之间的差距对于生物和制药研究至关重要.
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