15年来,分子模拟药物结合动力学
1Department of Chemistry and Biochemistry, University of Missouri-St. Louis, St. Louis, MO, USA.
预测药物结合动态的计算方法正在迅速发展. 这些分子动力学模拟有助于早期评估候选药物,提高药物发现效率并减少后期失败.
科学领域:
- 计算化学是一种计算化学.
- 药理学 药理学是指药理学的学科.
- 分子动力学分子动力学
背景情况:
- 药物结合动力学,包括停留时间,显著影响药物的疗效和毒性.
- 早期评估药物结合动力学对于降低药物发现中的消耗率至关重要.
- 计算预测提供了一种方法,可以在合成之前评估候选药物,但由于长时间尺度,模拟具有挑战性.
研究的目的:
- 审查基于分子动力学的方法的演变,以预测药物结合动力学.
- 要突出计算方法评估药物候选相互作用的进步.
主要方法:
- 在过去15年中开发的定性和定量分子动力学模拟技术的审查.
- 讨论计算绝对关联/解离速率常数的方法.
- 探索具有成本效益的方法来排序结合动力学.
主要成果:
- 分子动力学模拟现在可以计算绝对结合速率常数.
- 开发更便宜的方法来识别快速/慢速结合动力学或排序速率常数.
- 这些方法提供了对药物结合机制和具有良好的动力学药物的设计的见解.
结论:
- 在对药物结合动力学的计算预测方面取得了重大进展.
- 技术的不断进步,新方法和机器学习预计将进一步提高预测准确度.
- 计算工具对于设计具有优化结合动态的候选药物越来越有价值.
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