计算和生物物理方法用于发现和优化共价药物
Guanyu Wang1, Nicolas Moitessier1, Anthony K Mittermaier1
1Department of Chemistry, McGill University, 801 Sherbrooke Street West, Montreal, Quebec H3A 0B8, Canada. nicolas.moitessier@mcgill.ca.
概括
共同药物,曾经担心毒性,正在看到新的兴趣. 计算和生物物理方法的进步使得针对疾病和病毒感染的向共价抑制剂的设计成为可能.
科学领域:
- 药用化学 医学化学
- 药物发现 药物发现 药物发现
- 生物物理学的生物物理.
背景情况:
- 一个多世纪以来使用的共价药物,在历史上由于毒性问题而被避免.
- 最近的突破重新激发了人们对设计共价抑制剂的兴趣.
- 新的查和测试方法对于推动共价药物发现至关重要.
研究的目的:
- 突出共价药物设计中的计算和生物物理进步.
- 展示这些方法的应用在开发用于prolyl oligopeptidase (POP) 和SARS-CoV-2 3CLpro.的抑制剂.
主要方法:
- 利用计算方法进行合理的药物设计.
- 采用生物物理技术选和验证共价抑制剂.
- 专注于过去十年实验室衍生的进步.
主要成果:
- 成功应用计算和生物物理工具来设计共价抑制剂.
- 在向prolyl oligopeptidase (POP) 中已证明有效性.
- 开发了SARS-CoV-2 3CLpro的共价抑制剂,这是一个关键的病毒酶.
结论:
- 计算和生物物理策略在克服共价药物设计的历史挑战方面是有效的.
- 这些先进的方法促进了针对治疗应用的向共价抑制剂的开发.
- 描述的方法为未来的药物发现工作提供了有希望的途径,包括抗病毒药物.
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