皮卡瑞丁在气相氢键辅助下的构象选择

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Otger Crehuet, Andrea Vázquez, Francisco J. Basterretxea, Pablo Pinacho and Emilio J. Cocinero
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引用次数: 0

摘要

了解生物活性分子如皮卡瑞丁的内在形状是阐明其作用方式的关键。在这项工作中,我们表征了皮卡瑞丁的气相构象景观,这是一种具有两个立体中心的柔性手性驱避剂。宽带旋转光谱结合量子化学计算表明,每个对映体对只有一个优势构象,它们都被内部的O - h··O氢键稳定。这些分子内相互作用诱导构象锁定,限制了羟乙基链,有利于紧凑的几何结构。非共价相互作用分析进一步证实了分散和氢键在孤立条件下的构象选择中起着核心作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Hydrogen-bond-assisted conformational selection of picaridin in the gas phase†

Hydrogen-bond-assisted conformational selection of picaridin in the gas phase†

Understanding the intrinsic shape of bioactive molecules such as picaridin is key to elucidating their mode of action. In this work, we characterize the gas-phase conformational landscape of picaridin, a flexible chiral repellent with two stereocenters. Broadband rotational spectroscopy combined with quantum chemical calculations reveals a single dominant conformer per enantiomeric pair, both stabilized by internal O–H⋯O hydrogen bonds. These intramolecular interactions induce conformational locking, constraining the hydroxyethyl chain and favouring a compact geometry. Non-covalent interaction analysis further confirms that dispersion and hydrogen bonding play a central role in conformational selection under isolated conditions.

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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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