Comparison of Combinatorial Fragment Spaces and Its Application to Ultralarge Make-on-Demand Compound Catalogs.


Journal

Journal of chemical information and modeling
ISSN: 1549-960X
Titre abrégé: J Chem Inf Model
Pays: United States
ID NLM: 101230060

Informations de publication

Date de publication:
14 02 2022
Historique:
pubmed: 21 1 2022
medline: 25 3 2022
entrez: 20 1 2022
Statut: ppublish

Résumé

The set of chemical compounds shared by two or more chemical libraries is assessed routinely as means of comparing these libraries for various applications. Traditionally this is achieved by comparing the members of the chemical libraries individually for identity. This approach becomes impractical when operating on chemical libraries exceeding billions or even trillions of compounds in size. As a result, no such analysis exists for ultralarge chemical spaces like the Enamine REAL Space containing over 20 billion compounds. In this work, we present a novel tool called SpaceCompare for the overlap calculation of large, nonenumerable combinatorial fragment spaces. In contrast to existing methods, SpaceCompare utilizes topological fingerprints and the combinatorial character of these chemical spaces. The tool is able to determine the exact overlap of prominent spaces like Enamine's REAL Space, WuXi's GalaXi Space, and Otava's CHEMriya for the first time.

Identifiants

pubmed: 35050621
doi: 10.1021/acs.jcim.1c01378
doi:

Substances chimiques

Small Molecule Libraries 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

553-566

Auteurs

Louis Bellmann (L)

Universität Hamburg, ZBH - Center for Bioinformatics, Research Group for Computational Molecular Design, Bundesstraße 43, 20146 Hamburg, Germany.

Patrick Penner (P)

Universität Hamburg, ZBH - Center for Bioinformatics, Research Group for Computational Molecular Design, Bundesstraße 43, 20146 Hamburg, Germany.

Marcus Gastreich (M)

BioSolveIT GmbH, An der Ziegelei 79, 53757 Sankt Augustin, Germany.

Matthias Rarey (M)

Universität Hamburg, ZBH - Center for Bioinformatics, Research Group for Computational Molecular Design, Bundesstraße 43, 20146 Hamburg, Germany.

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Classifications MeSH