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基于信息论的化学结构编码趋势。

Trends in information theory-based chemical structure codification.

作者信息

Barigye Stephen J, Marrero-Ponce Yovani, Pérez-Giménez Facundo, Bonchev Danail

机构信息

Unit of Computer-Aided Molecular "Biosilico" Discovery and Bioinformatic Research (CAMD-BIR Unit), Faculty of Chemistry-Pharmacy, Universidad Central "Martha Abreu" de Las Villas, 54830 , Santa Clara, Villa Clara, Cuba,

出版信息

Mol Divers. 2014 Aug;18(3):673-86. doi: 10.1007/s11030-014-9517-7. Epub 2014 Apr 5.

Abstract

This report offers a chronological review of the most relevant applications of information theory in the codification of chemical structure information, through the so-called information indices. Basically, these are derived from the analysis of the statistical patterns of molecular structure representations, which include primitive global chemical formulae, chemical graphs, or matrix representations. Finally, new approaches that attempt to go "back to the roots" of information theory, in order to integrate other information-theoretic measures in chemical structure coding are discussed.

摘要

本报告按时间顺序回顾了信息论在化学结构信息编码中最相关的应用,这些应用是通过所谓的信息指数来实现的。基本上,这些指数源自对分子结构表示的统计模式的分析,分子结构表示包括原始全局化学式、化学图或矩阵表示。最后,还讨论了一些新方法,这些方法试图回归信息论的根源,以便将其他信息论度量整合到化学结构编码中。

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