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Predicting Binding Free Energies: Frontiers and Benchmarks
Annual Review of Biophysics ( IF 10.4 ) Pub Date : 2017-05-22 00:00:00 , DOI: 10.1146/annurev-biophys-070816-033654
David L Mobley 1 , Michael K Gilson 2
Affiliation  

Binding free energy calculations based on molecular simulations provide predicted affinities for biomolecular complexes. These calculations begin with a detailed description of a system, including its chemical composition and the interactions among its components. Simulations of the system are then used to compute thermodynamic information, such as binding affinities. Because of their promise for guiding molecular design, these calculations have recently begun to see widespread applications in early-stage drug discovery. However, many hurdles remain in making them a robust and reliable tool. In this review, we highlight key challenges of these calculations, discuss some examples of these challenges, and call for the designation of standard community benchmark test systems that will help the research community generate and evaluate progress. In our view, progress will require careful assessment and evaluation of new methods, force fields, and modeling innovations on well-characterized benchmark systems, and we lay out our vision for how this can be achieved.

中文翻译:



预测结合自由能:前沿和基准



基于分子模拟的结合自由能计算提供了生物分子复合物的预测亲和力。这些计算首先对系统进行详细描述,包括其化学成分及其组件之间的相互作用。然后使用系统模拟来计算热力学信息,例如结合亲和力。由于它们有望指导分子设计,这些计算最近开始在早期药物发现中得到广泛应用。然而,要使它们成为强大而可靠的工具,仍然存在许多障碍。在本次审查中,我们强调了这些计算的关键挑战,讨论了这些挑战的一些示例,并呼吁指定标准社区基准测试系统,以帮助研究社区产生和评估进展。我们认为,要取得进展,就需要在充分表征的基准系统上对新方法、力场和建模创新进行仔细评估和评估,并且我们阐述了如何实现这一目标的愿景。

更新日期:2017-05-22
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