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A critical assessment of force field accuracy against NMR data for cyclic peptides containing beta-amino acids

机译:对含有β-氨基酸的循环肽对核肽的核肽数据的临界评估

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摘要

Hybrid cyclic alpha/beta-peptides, in which one or more beta-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 beta-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 (3)J scalar couplings) on five cyclic alpha/beta-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 (3)J(HN, H alpha), suggesting that MD simulations could be an appropriate tool in the rational design of therapeutic cyclic alpha-peptides. However, for NMR observables directly related to beta-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.
机译:杂交环α/β-肽,其中一种或多种β-氨基酸掺入骨架中,由于其通过在溶液中通过预先达到生物学靶标的增强的结合亲和力而增加,较高的潜在治疗物。通过MD仿真等策略在其三维结构的硅预测将基本上推进理性设计过程。然而,在对含有β-氨基酸的高度约束的环庚酯中仍有待验证待验证含有β-氨基酸的高度约束的环肽是准确的。在此,我们对8种广泛使用的力场的能力进行了系统评估,以在包含整合素识别基序ISODGR的五个循环α/β-肽上再现79个NMR观察到(包括化学位移和(3)J标量偶联)。其中大多数调查的力领域包括来自琥珀,OPL,Charmm和Gromos系列的力领域,与实验(3)J(HN,H Alpha)展示非常好的协议,表明MD模拟可能是理性的适当工具治疗循环α-肽的设计。然而,对于直接与β-氨基酸直接相关的NMR可观察结果,我们观察到与实验的糟糕协议以及我们对Karplus参数选择的评估的显着依赖性。本文揭幕的力场弱度可能构成进一步力场优化的灵感来源。

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    IRCCS Osped San Raffaele Biomol NMR Unit Via Olgettina 60 I-20132 Milan Italy;

    IRCCS Osped San Raffaele Biomol NMR Unit Via Olgettina 60 I-20132 Milan Italy;

    Univ Milan Dipartimento Chim Via Golgi 19 I-20133 Milan Italy;

    IRCCS Osped San Raffaele Tumor Biol &

    Vasc Targeting Unit Via Olgettina 60 I-20132 Milan Italy;

    Univ Milan Dipartimento Chim Via Golgi 19 I-20133 Milan Italy;

    IRCCS Osped San Raffaele Biomol NMR Unit Via Olgettina 60 I-20132 Milan Italy;

    IRCCS Osped San Raffaele Biomol NMR Unit Via Olgettina 60 I-20132 Milan Italy;

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  • 正文语种 eng
  • 中图分类 物理学;化学;
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