药物开发的未来与量子计算的发展
Bhushan Bonde1,2, Pratik Patil3,4, Bhaskar Choubey4,5
1Evotec (UK) Ltd., Oxfordshire, UK. bhushan.bonde@evotec.com.
Methods in molecular biology (Clifton, N.J.)
|September 13, 2023
概括
量子计算 (QC) 正通过加速复杂过程来彻底改变药物发现. 这项技术为诸如蛋白质折叠和分子对接等挑战提供了新的解决方案,大大减少了开发时间和成本.
科学领域:
- 计算化学是一种计算化学.
- 量子计算应用程序 量子计算应用程序
- 药物的发现和开发.
背景情况:
- 传统药物开发是漫长而昂贵的过程.
- 计算模型的进步,包括人工智能和机器学习,正在加速研究.
- 量子计算 (QC) 为制药研究提供了一种变革性的方法.
研究的目的:
- 为药物开发引入量子计算 (QC).
- 探索QC如何应对药物发现方面的挑战.
- 讨论QC在这个领域的基础,应用和局限性.
主要方法:
- 审查量子计算的基本原理和哈密尔顿理论.
- 将质量控制原则应用于药物发现挑战.
- 检查噪音中等规模量子 (NISQ) 时代的方法及其局限性.
主要成果:
- QC可以帮助蛋白质折叠模拟.
- 质量控制协助分子对接过程.
- QC增强了基于AI/ML的药物设计优化.
结论:
- 量子计算为克服药物发现障碍提供了重大机会.
- 目前的NISQ时代方法尽管有局限性,但提供了实际应用.
- 质量控制领域面临着挑战,同时也为未来的制药创新提供了有前途的途径.
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