导航基于结构的药物发现与物理和基于知识的方法的新兴创新
Jordy Homing Lam1,2, Vsevolod Katritch1,2,3,4
1Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA USA.
基于结构的药物设计正在推进基于物理和基于知识的计算方法. 未来的进展取决于通过协同方法解决准确性,效率和可合成性方面的挑战.
科学领域:
- 计算化学和药理学计算化学和药理学
- 药物的发现和开发.
背景情况:
- 基于结构的药物设计 (SBDD) 是现代制药研究的基石.
- 计算方法,包括基于物理和基于知识的方法,是SBDD的组成部分.
- 虽然取得了重大进展,但实际应用却面临着障碍.
研究的目的:
- 批判性地审查SBDD计算方法的最新进展.
- 分析当前基于物理和基于知识的技术的优点和局限性.
- 探索未来药物设计的协同策略.
主要方法:
- 关于计算药物设计的最新文献的综述.
- 基于物理的模拟技术的分析.
- 评估基于知识的数据挖掘和机器学习方法.
主要成果:
- 在药物发现过程中,SBDD方法表现出快速的进化,整合了计算方法.
- 关键的挑战仍然存在,包括准确性,概括性,计算成本和确保化学合成性.
- 基于物理和基于知识的方法之间的协同作用为改进提供了有希望的途径.
结论:
- 计算式SBDD的持续开发对于有效的药物发现至关重要.
- 通过综合方法解决当前的局限性,将提高实际适用性.
- 未来的研究应该专注于结合各种计算策略,以实现强大的药物设计.
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