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通过分子模拟对丙型肝炎病毒(HCV)药物类似物药物开发挑战的3D构象和晶体相互作用见解。

3D conformation and crystal interaction insights into drug development challenges for HCV drug analogues via molecular simulations.

作者信息

Hong Richard S, Mattei Alessandra, Tuckerman Mark E, Sheikh Ahmad Y

机构信息

AbbVie Inc., Molecular Profiling and Drug Delivery, North Chicago, IL, USA.

Department of Chemistry, New York University, New York, NY, USA.

出版信息

Commun Chem. 2025 Aug 5;8(1):229. doi: 10.1038/s42004-025-01618-8.

Abstract

ABT-333 and ABT-072 are two potent non-nucleoside NS5B polymerase inhibitors designed for the treatment of the hepatitis C virus (HCV). These structural analogs differ only by a minor substituent change, which disrupts the planarity of the naphthyl group on the ABT-333 compound through the addition of a more flexible trans-olefin substituent. However, this minor change leads to significant differences in their conformational preferences and intermolecular interactions, resulting in a ripple effect with drug development implications, ranging from crystal polymorphism and low aqueous solubility to formulation development challenges. In this article, we demonstrate how a suite of molecular simulation approaches, including crystal structure prediction augmented with a new hydrate CSP algorithm, free-energy perturbation, molecular dynamics (MD) based solubility predictions, and topological assessment to evaluate surface re-crystallization tendencies, provide key atomistic-level insights into the differentiated performance of the two analogs. Through this study, we establish the importance of end-to-end physics-based modeling, which involves explicit considerations of 3-D structure and crystal packing interactions. This approach provides structural and energetic insights into the physicochemical properties and drug development challenges faced when designing best-in-class drug molecules.

摘要

ABT - 333和ABT - 072是两种强效的非核苷类NS5B聚合酶抑制剂,旨在用于治疗丙型肝炎病毒(HCV)。这些结构类似物仅因一个微小的取代基变化而有所不同,该变化通过添加一个更具柔性的反式烯烃取代基破坏了ABT - 333化合物上萘基的平面性。然而,这一微小变化导致它们在构象偏好和分子间相互作用方面存在显著差异,从而产生连锁反应,对药物开发产生影响,范围从晶体多晶型和低水溶性到制剂开发挑战。在本文中,我们展示了一套分子模拟方法,包括用一种新的水合物CSP算法增强的晶体结构预测、自由能扰动、基于分子动力学(MD)的溶解度预测以及用于评估表面重结晶趋势的拓扑评估,如何为这两种类似物的差异化性能提供关键的原子水平见解。通过这项研究,我们确立了基于物理的端到端建模的重要性,其中涉及对三维结构和晶体堆积相互作用的明确考虑。这种方法为设计同类最佳药物分子时所面临的物理化学性质和药物开发挑战提供了结构和能量方面的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/543b/12325785/1dc45fce8bd8/42004_2025_1618_Fig1_HTML.jpg

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