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基于第一性原理的小分子膜通透性预测:在实际应用中它们有多有用?

Predictions from First-Principles of Membrane Permeability to Small Molecules: How Useful Are They in Practice?

作者信息

Chipot Christophe

机构信息

Laboratoire International Associé Centre National de la Recherche Scientifique et University of Illinois at Urbana-Champaign, Unité Mixte de Recherche n◦7019, Université de Lorraine, 54500 Vandœuvre-lès-Nancy cedex, France.

Beckman Institute for Advanced Science and Technology, and Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61820, United States.

出版信息

J Chem Inf Model. 2023 Aug 14;63(15):4533-4544. doi: 10.1021/acs.jcim.3c00686. Epub 2023 Jul 14.

Abstract

Predicting from first-principles the rate of passive permeation of small molecules across the biological membrane represents a promising strategy for screening lead compounds upstream in the drug-discovery and development pipeline. One popular avenue for the estimation of permeation rates rests on computer simulations in conjunction with the inhomogeneous solubility-diffusion model, which requires the determination of the free-energy change and position-dependent diffusivity of the substrate along the translocation pathway through the lipid bilayer. In this Perspective, we will clarify the physical meaning of the membrane permeability inferred from such computer simulations, and how theoretical predictions actually relate to what is commonly measured experimentally. We will also examine why these calculations remain both technically challenging and overly computationally expensive, which has hitherto precluded their routine use in nonacademic settings. We finally synopsize possible research directions to meet these challenges, increase the predictive power of physics-based rates of passive permeation, and, by ricochet, improve their practical usefulness.

摘要

从第一性原理预测小分子跨生物膜的被动渗透速率,是在药物发现与开发流程上游筛选先导化合物的一种很有前景的策略。一种估算渗透速率的常用方法是结合非均匀溶解度-扩散模型进行计算机模拟,这需要确定底物在通过脂质双层的转运途径上的自由能变化和位置依赖性扩散系数。在这篇视角文章中,我们将阐明从这类计算机模拟推断出的膜通透性的物理意义,以及理论预测实际上如何与通常通过实验测量的结果相关联。我们还将探讨为什么这些计算在技术上仍然具有挑战性且计算成本过高,这迄今为止阻碍了它们在非学术环境中的常规使用。我们最后总结了应对这些挑战、提高基于物理的被动渗透速率预测能力并进而提高其实际实用性的可能研究方向。

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