Biomolecular NMR Unit, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132 Milan, Italy.
Phys Chem Chem Phys. 2018 Jun 13;20(23):15807-15816. doi: 10.1039/c8cp00234g.
Hybrid cyclic α/β-peptides, in which one or more β-amino acids are incorporated into the backbone, are gaining increasing interest as potential therapeutics, thanks to their ability to achieve enhanced binding affinities for a biological target through pre-organization in solution. The in silico prediction of their three dimensional structure through strategies such as MD simulations would substantially advance the rational design process. However, whether the molecular mechanics force fields are accurate in sampling highly constrained cyclopeptides containing β-amino acids remains to be verified. Here, we present a systematic assessment of the ability of 8 widely used force fields to reproduce 79 NMR observables (including chemical shifts and 3J scalar couplings) on five cyclic α/β-peptides that contain the integrin recognition motif isoDGR. Most of the investigated force fields, which include force fields from AMBER, OPLS, CHARMM and GROMOS families, display very good agreement with experimental 3J(HN,Hα), suggesting that MD simulations could be an appropriate tool in the rational design of therapeutic cyclic α-peptides. However, for NMR observables directly related to β-amino acids, we observed a poor agreement with experiments and a remarkable dependence of our evaluation on the choice of Karplus parameters. The force field weaknesses herein unveiled might constitute a source of inspiration for further force field optimization.
杂化环 α/β-肽,其中一个或多个β-氨基酸被整合到主链中,由于其在溶液中通过预组织能够提高对生物靶标的结合亲和力,因此作为潜在的治疗方法越来越受到关注。通过 MD 模拟等策略对其三维结构进行计算机预测将大大推进合理设计过程。然而,分子力学力场在采样含有β-氨基酸的高度约束环肽方面是否准确仍有待验证。在这里,我们系统评估了 8 种广泛使用的力场重现 5 种含有整合素识别基序 isoDGR 的环 α/β-肽上 79 个 NMR 可观测值(包括化学位移和 3J 标量偶合)的能力。大多数研究的力场,包括来自 AMBER、OPLS、CHARMM 和 GROMOS 家族的力场,与实验 3J(HN,Hα)非常吻合,这表明 MD 模拟可能是合理设计治疗性环 α-肽的合适工具。然而,对于与β-氨基酸直接相关的 NMR 可观测值,我们观察到与实验的较差一致性,并且我们的评估对 Karplus 参数的选择有明显的依赖性。本文揭示的力场弱点可能为进一步的力场优化提供灵感来源。