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基于模拟的复杂分子及配体-蛋白相互作用的二维化学结构图生成算法。

Simulation-Based Algorithm for Two-Dimensional Chemical Structure Diagram Generation of Complex Molecules and Ligand-Protein Interactions.

机构信息

Institute of Applied Radiation Chemistry, Lodz University of Technology , Zeromskiego 116, 90-924 Lodz, Poland.

出版信息

J Chem Inf Model. 2016 Dec 27;56(12):2320-2335. doi: 10.1021/acs.jcim.6b00391. Epub 2016 Dec 12.

Abstract

Computer programs for structure diagram generation (SDG) are indispensable cheminformatic tools that translate one- or three-dimensional (1D or 3D) chemical structure data stored in electronic formats to human-readable 2D depictions. Although many such programs are known, only a moderate part of chemical space can be handled by existing algorithms. For many classes of natural and synthetic compounds the results obtained with current SDG methods are illegible. A new algorithm based solely on a physical simulation of a molecule has been developed. The method allows for a general and global approach to avoid overlapping atoms and substituents. While the algorithm shows no advantage for trivial molecules, it shows superior performance over existing methods in depicting the most challenging compounds. The algorithm can generate chemically correct and legible 2D structure diagrams of many classes of natural and synthetic compounds that are intractable with existing SDG algorithms. The use of the method for generating schematic ligand-receptor interaction diagrams is also discussed.

摘要

用于结构图生成 (SDG) 的计算机程序是必不可少的化学信息学工具,可将以电子格式存储的一维 (1D) 或三维 (3D) 化学结构数据转换为人类可读的二维表示。尽管已知有许多这样的程序,但现有的算法只能处理化学空间的一部分。对于许多类别的天然和合成化合物,当前 SDG 方法获得的结果难以辨认。已经开发了一种仅基于分子物理模拟的新算法。该方法允许采用通用和全局方法来避免原子和取代基重叠。虽然该算法对于简单分子没有优势,但它在描绘最具挑战性的化合物方面优于现有方法。该算法可以生成许多类别的天然和合成化合物的化学正确且易读的 2D 结构图,这些化合物对于现有的 SDG 算法来说难以处理。还讨论了该方法在生成示意性配体-受体相互作用图中的应用。

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