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FEBS J. 2018 Jun;285(12):2193-2204. doi: 10.1111/febs.14427. Epub 2018 Mar 23.

STRENDA DB: enabling the validation and sharing of enzyme kinetics data.

Author information

1
Manchester Centre for Synthetic Biology of Fine and Speciality Chemicals, Manchester Institute of Biotechnology, University of Manchester, UK.
2
Department of Biochemistry, University of Zürich, Switzerland.
3
University Medical Center Groningen, University of Groningen, The Netherlands.
4
CNRS-IMM-BIP, Aix Marseille Univ, France.
5
The University of Texas Health Science Center, San Antonio, TX, USA.
6
WestCHEM, Department of Pure & Applied Chemistry, University of Strathclyde, Glasgow, UK.
7
The Albert-Einstein-College of Medicine, Bronx, NY, USA.
8
European Bioinformatics Institute, EMBL Outstation, Cambridge, UK.
9
Department of Chemistry, Texas A&M University, College Station, TX, USA.
10
Beilstein-Institut, Frankfurt am Main, Germany.
11
Department of Biochemistry, University of Stellenbosch, South Africa.
12
Department of Molecular & Integrative Physiology, Department of Computational Medicine & Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA.
13
Bioinformatics and Systems Biology, Technical University of Braunschweig, Germany.
14
School of Biochemistry and Immunology, Trinity College Dublin, Dublin, Ireland.
15
Institute of Biochemical Sciences, Academia Sinica, Taipei, Taiwan.
16
Manchester Centre for Integrative Systems Biology, School for Chemical Engineering and Analytical Science, University of Manchester, UK.
17
Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Science, University of Amsterdam, The Netherlands.
18
Molecular Cell Biology, Faculty of Sciences, Vrije Universiteit Amsterdam, The Netherlands.
19
Heidelberg Institute for Theoretical Studies (HITS gGmbH), Germany.
20
Member of Merck Group, Sigma-Aldrich, Buchs, Switzerland.

Abstract

Standards for reporting enzymology data (STRENDA) DB is a validation and storage system for enzyme function data that incorporates the STRENDA Guidelines. It provides authors who are preparing a manuscript with a user-friendly, web-based service that checks automatically enzymology data sets entered in the submission form that they are complete and valid before they are submitted as part of a publication to a journal.

PMID:
29498804
PMCID:
PMC6005732
[Available on 2019-06-01]
DOI:
10.1111/febs.14427

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