Artificial bees collect diverse conformers of small organic molecules†

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Anastasiia A. Smirnova, Maxim D. Yablonskiy, Ekaterina I. Marchenko, Nikolai G. Andreadi and Artem A. Mitrofanov
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引用次数: 0

Abstract

The conformational mobility of organic molecules, defined as the variability of practically accessible conformers, plays a critical role in determining electronic, chemical, and physical properties within computational methods. At the same time, there is a challenge in identifying a compact set of global and local conformers for a comprehensive description of the potential energy surface. Here, we apply a nature-inspired algorithm based on the artificial bee colony optimizer that enables the discovery of conformers in both gas and condensed phases at the level of state-of-the-art models. We hope that our approach will allow researchers to take the next step in organic crystal packing studies by expanding the diversity of the conformational set.

Abstract Image

人造蜜蜂收集有机小分子的多种构象
有机分子的构象迁移率被定义为实际可接近的构象的可变性,在计算方法中决定电子、化学和物理性质方面起着关键作用。与此同时,在确定一组紧凑的全局和局部构象以全面描述势能面方面存在挑战。在这里,我们应用了一种基于人工蜂群优化器的自然启发算法,该算法能够在最先进的模型水平上发现气相和凝聚相的构象。我们希望我们的方法能够通过扩大构象集的多样性,使研究人员在有机晶体包装研究中迈出下一步。
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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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