计算在药物发现中的许多作用
1Department of Chemistry, Yale University, New Haven, CT 06520-8107, USA. william.jorgensen@yale.edu
概括
计算化学通过虚拟查和de novo设计加速药物发现. 它还有助于评估新疗法的药物相似性和蛋白质-连接体结合.
科学领域:
- 药用化学 医学化学
- 计算化学计算化学
- 药理学 药理学是指药理学的学科.
背景情况:
- 药物发现是一个复杂,漫长和昂贵的过程.
- 计算化学提供了强大的工具来简化和增强药物发现管道.
研究的目的:
- 提供计算机化学在现代药物发现中的多样化应用的概述.
- 突出关键的方法,包括虚拟选,de novo设计和绑定亲和力预测.
主要方法:
- 审查已建立和新兴的计算化学技术.
- 专注于基于结构和基于连接体的药物设计策略.
- 讨论预测物理化学性质和ADMET配置文件的方法.
主要成果:
- 计算化学显著提高了识别化合物的效率.
- 虚拟选可以快速探索广的化学空间.
- 新设计 (de novo) 便于创建具有所需性质的新型分子结构.
- 精确预测蛋白质 - 连接体相互作用指导优化工作.
结论:
- 计算化学对于当代药物发现是不可或缺的.
- 这些方法可以降低成本和时间,从而使新药的开发速度更快.
- 计算方法的整合提高了药物候选人的成功率.
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