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Updated: Aug 9, 2025

Microcrystallography of Protein Crystals and In Cellulo Diffraction
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Graph isomorphism-based algorithm for cross-checking chemical and crystallographic descriptions.

Andrius Merkys1, Antanas Vaitkus2, Algirdas Grybauskas2

  • 1Sector of Crystallography and Chemical Informatics, Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania. andrius.merkys@gmc.vu.lt.

Journal of Cheminformatics
|February 23, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for cross-checking chemical descriptions using molecular graph isomorphism. It identifies inconsistencies and suggests minimal simplifications for coherent chemical representations, aiding database curation.

Keywords:
Crystallography Open DatabaseGraph isomorphismMolecular graphsSMILES

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Area of Science:

  • Chemistry
  • Computational Chemistry
  • Crystallography

Background:

  • Chemical reports often contain multiple, potentially supplementary, machine-readable descriptions.
  • Ensuring coherence and completeness of chemical representations is crucial for data integrity.

Purpose of the Study:

  • To present a method for cross-checking multiple machine-readable chemical descriptions.
  • To identify coherently described entries and those requiring curation in databases.

Main Methods:

  • Utilizing a canonical representation and isomorphism of molecular graphs.
  • Developing an algorithm to derive minimal simplifications for matching descriptions.
  • Applying the algorithm to cross-check chemical descriptions from the Crystallography Open Database.

Main Results:

  • The method successfully cross-checks chemical descriptions.
  • Identified both coherently described entries and those needing further curation.
  • Demonstrated the utility of molecular graph isomorphism for data validation.

Conclusions:

  • The proposed algorithm provides a robust approach for verifying chemical data consistency.
  • Facilitates automated curation of chemical databases.
  • Enhances the reliability of machine-readable chemical information.