用更少的资源做得更多:通过专注于结合点的结合点来准确和可扩展的配体自由能量计算
David Alencar Araripe1,2,3, Alejandro Díaz-Holguín3, Antti Poso4
1Department of Medicinal Chemistry, Photopharmacology and Imaging, Groningen Research Institute of Pharmacy (GRIP), Faculty of Science and Engineering, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands.
Journal of chemical information and modeling
|February 13, 2026
概括
QligFEP v2.1.0使用高效的自由能量扰动 (FEP) 计算提供了准确的药物结合预测. 这种开源工具降低了计算成本,使FEP可用于药物发现优化.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 分子建模分子建模
背景情况:
- 准确预测化学修饰对药物结合的影响对于合理的药物设计至关重要.
- 传统的自由能量扰动 (FEP) 方法是计算密集的,需要专门的专业知识.
- 现有的FEP方法往往需要大量的计算资源和深入的知识.
研究的目的:
- 介绍QligFEP v2.1.0,一个开源的工作流来计算相对约束的自由能量.
- 提供灵活,用户友好的工具,减少FEP计算的计算需求.
- 提高药物发现中的结合亲和性预测的可访问性和效率.
主要方法:
- 开发QligFEP v2.1.0,具有图形和命令行接口.
- 实施球形边界条件以减少模拟系统大小.
- 使用可配置的约束算法用于各种化学转换和简化设置.
主要成果:
- 根据行业基准进行验证 (16个蛋白质标,639个连接体转化).
- 在显著减少计算资源的情况下,实现了与现有的FEP方法相比的准确性.
- 证明了高效的模拟时间 (每次转换复制不到2小时) 和低成本 (在AWS现场实例上低于1美元).
结论:
- QligFEP v2.1.0为FEP计算提供了一个准确,灵活和计算效率高的解决方案.
- 该工具为大规模应用提供了对严格的约束性亲缘关系预测的访问.
- QligFEP加速了药物发现中的化合物优化,特别是在计算基础设施有限的群体中.
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