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Graph isomorphism-based algorithm for cross-checking chemical and crystallographic descriptions.
Merkys, Andrius; Vaitkus, Antanas; Grybauskas, Algirdas; Konovalovas, Aleksandras; Quirós, Miguel; Grazulis, Saulius.
Afiliação
  • Merkys A; Sector of Crystallography and Chemical Informatics, Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania. andrius.merkys@gmc.vu.lt.
  • Vaitkus A; Sector of Crystallography and Chemical Informatics, Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
  • Grybauskas A; Sector of Crystallography and Chemical Informatics, Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
  • Konovalovas A; Department of Biochemistry and Molecular Biology, Institute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
  • Quirós M; Departamento de Química Inorgánica, Universidad de Granada, 18071, Granada, Spain.
  • Grazulis S; Sector of Crystallography and Chemical Informatics, Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
J Cheminform ; 15(1): 25, 2023 Feb 23.
Article em En | MEDLINE | ID: mdl-36814296
ABSTRACT
Published reports of chemical compounds often contain multiple machine-readable descriptions which may supplement each other in order to yield coherent and complete chemical representations. This publication presents a method to cross-check such descriptions using a canonical representation and isomorphism of molecular graphs. If immediate agreement between compound descriptions is not found, the algorithm derives the minimal set of simplifications required for both descriptions to arrive to a matching form (if any). The proposed algorithm is used to cross-check chemical descriptions from the Crystallography Open Database to identify coherently described entries as well as those requiring further curation.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article