CageCavityCalc (C3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL Journal of Chemical Information and Modeling Pub Date : 2024-07-09 DOI:10.1021/acs.jcim.4c00355
Vicente Martí-Centelles, Tomasz K. Piskorz, Fernanda Duarte
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Abstract

Organic(porous) and metal–organic cages are promising biomimetic platforms with diverse applications spanning recognition, sensing, and catalysis. The key to the emergence of these functions is the presence of well-defined inner cavities capable of binding a wide range of guest molecules and modulating their properties. However, despite the myriad cage architectures currently available, the rational design of structurally diverse and functional cages with specific host–guest properties remains challenging. Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce CageCavityCalc (C3), a Python-based tool for calculating the cavity size of molecular cages. The code is available on GitHub at https://github.com/VicenteMartiCentelles/CageCavityCalc. C3 utilizes a novel algorithm that enables the rapid calculation of cavity sizes for a wide range of molecular structures and porous systems. Moreover, C3 facilitates easy visualization of the computed cavity size alongside hydrophobic and electrostatic potentials, providing insights into host–guest interactions within the cage. Furthermore, the calculated cavity can be visualized using widely available visualization software, such as PyMol, VMD, or ChimeraX. To enhance user accessibility, a PyMol plugin has been created, allowing nonspecialists to use this tool without requiring computer programming expertise. We anticipate that the deployment of this computational tool will significantly streamline cage cavity calculations, thereby accelerating the discovery of functional cages.

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CageCavityCalc (C3):计算和观察分子笼空腔的计算工具
有机(多孔)笼和金属有机笼是前景广阔的仿生平台,具有识别、传感和催化等多种应用。实现这些功能的关键在于存在能够结合多种客体分子并调节其性质的定义明确的内腔。然而,尽管目前有无数的笼子结构,但合理设计具有特定主客体特性的结构多样的功能性笼子仍然具有挑战性。有效预测这些特性对于加速新型功能笼的发现至关重要。在此,我们介绍基于 Python 的计算分子笼空腔尺寸的工具 CageCavityCalc (C3)。代码可在 GitHub 上获取:https://github.com/VicenteMartiCentelles/CageCavityCalc。C3 采用了一种新颖的算法,可以快速计算各种分子结构和多孔系统的空腔尺寸。此外,C3 还能方便地将计算出的空腔尺寸与疏水和静电势一起可视化,从而深入了解笼子内的主客体相互作用。此外,计算出的空腔还可通过广泛使用的可视化软件(如 PyMol、VMD 或 ChimeraX)进行可视化。为了提高用户的使用便利性,我们还创建了一个 PyMol 插件,让非专业人员也能使用这一工具,而无需计算机编程专业知识。我们预计,这一计算工具的部署将大大简化笼腔计算,从而加速功能笼的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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