Skip to main navigation Skip to search Skip to main content

Substructure, subgraph, and walk counts as measures of the complexity of graphs and molecules.

Research output: Journal contributionsJournal articlesResearchpeer-review

41 Citations (Scopus)

Abstract

In discussions of unsaturated compounds represented by multigraphs it is necessary to distinguish between the notions of substructure and subgraph. Here the difference is explained and exemplified, and a computer program is introduced which for the first time is able to construct and count all substructures and subgraphs for a colored multigraph (a molecular compound which may contain unsaturation and heteroatoms). Construction of all substructures and subgraphs is computationally demanding; therefore, two alternatives are pointed out for the treatment of large sets of compounds: (i) Often it will suffice to consider counts of substructures/subgraphs up to a certain number of edges only, information which is provided by the program much more rapidly, (ii) It is shown that information equivalent to that gained from substructure or subgraph counts is often far more easily available using walk counts. Some problems and their consequences for substructure/subgraph/walk counts are discussed that arise from the models used in organic chemistry for certain compounds such as aromatics and from the necessity to express qualitative features of molecular structures numerically.

Original languageEnglish
JournalJournal of Chemical Information and Computer Sciences
Volume41
Issue number6
Pages (from-to)1457-1462
Number of pages6
ISSN0095-2338
DOIs
Publication statusPublished - 01.11.2001
Externally publishedYes

Research areas and keywords

  • Chemistry

ASJC Scopus Subject Areas

  • Chemistry(all)
  • Library and Information Sciences
  • Computer Science Applications
  • Chemical Engineering(all)

Fingerprint

Dive into the research topics of 'Substructure, subgraph, and walk counts as measures of the complexity of graphs and molecules.'. Together they form a unique fingerprint.

Cite this