Trends in information theory-based chemical structure codification

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

Research output: Contribution to journalReview articlepeer-review

34 Scopus citations

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.

Original languageEnglish
Pages (from-to)673-686
Number of pages14
JournalMolecular Diversity
Volume18
Issue number3
DOIs
StatePublished - Aug 2014
Externally publishedYes

Keywords

  • Chemical structure
  • Conditional and joint entropies
  • Information indices
  • Information theory
  • Mutual
  • Shannon's entropy
  • Statistical pattern

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