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Sökning: WFRF:(Willighagen Egon) > (2015-2019) > XMetDB :

XMetDB : an open access database for xenobiotic metabolism

Spjuth, Ola, 1977- (författare)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Science for Life Laboratory, SciLifeLab
Rydberg, Patrik (författare)
Department of Drug Design and Pharmacology, University of Copenhagen
Willighagen, Egon L. (författare)
Department of Bioinformatics - BiGCaT, Maastricht University
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Evelo, Chris T. (författare)
Department of Bioinformatics - BiGCaT, Maastricht University
Jeliazkova, Nina (författare)
IdeaConsult Ltd, 4 A Kanchev Str, Sofia 1000, Bulgaria
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 (creator_code:org_t)
2016-09-15
2016
Engelska.
Ingår i: Journal of Cheminformatics. - : Springer Science and Business Media LLC. - 1758-2946. ; 8
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Xenobiotic metabolism is an active research topic but the limited amount of openly available high-quality biotransformation data constrains predictive modeling. Current database often default to commonly available information: which enzyme metabolizes a compound, but neither experimental conditions nor the atoms that undergo metabolization are captured. We present XMetDB, an open access database for drugs and other xenobiotics and their respective metabolites. The database contains chemical structures of xenobiotic biotransformations with substrate atoms annotated as reaction centra, the resulting product formed, and the catalyzing enzyme, type of experiment, and literature references. Associated with the database is a web interface for the submission and retrieval of experimental metabolite data for drugs and other xenobiotics in various formats, and a web API for programmatic access is also available. The database is open for data deposition, and a curation scheme is in place for quality control. An extensive guide on how to enter experimental data into is available from the XMetDB wiki. XMetDB formalizes how biotransformation data should be reported, and the openly available systematically labeled data is a big step forward towards better models for predictive metabolism.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)

Nyckelord

Xenobiotic; Metabolism; Database; Cytochrome; P450
Bioinformatik
Bioinformatics

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