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Enzyme kinetics informatics: from instrument to browser
Author(s) -
Swainston Neil,
Golebiewski Martin,
Messiha Hanan L.,
Malys Naglis,
Kania Renate,
Kengne Sylvestre,
Krebs Olga,
Mir Saqib,
SauerDanzwith Heidrun,
Smallbone Kieran,
Weidemann Andreas,
Wittig Ulrike,
Kell Douglas B.,
Mendes Pedro,
Müller Wolfgang,
Paton Norman W.,
Rojas Isabel
Publication year - 2010
Publication title -
the febs journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.981
H-Index - 204
eISSN - 1742-4658
pISSN - 1742-464X
DOI - 10.1111/j.1742-4658.2010.07778.x
Subject(s) - metadata , computer science , raw data , database , experimental data , software , web browser , web service , service (business) , information retrieval , data collection , world wide web , data mining , data science , the internet , operating system , statistics , mathematics , economy , economics , programming language
A limited number of publicly available resources provide access to enzyme kinetic parameters. These have been compiled through manual data mining of published papers, not from the original, raw experimental data from which the parameters were calculated. This is largely due to the lack of software or standards to support the capture, analysis, storage and dissemination of such experimental data. Introduced here is an integrative system to manage experimental enzyme kinetics data from instrument to browser. The approach is based on two interrelated databases: the existing SABIO‐RK database, containing kinetic data and corresponding metadata, and the newly introduced experimental raw data repository, MeMo‐RK. Both systems are publicly available by web browser and web service interfaces and are configurable to ensure privacy of unpublished data. Users of this system are provided with the ability to view both kinetic parameters and the experimental raw data from which they are calculated, providing increased confidence in the data. A data analysis and submission tool, the kineticswizard , has been developed to allow the experimentalist to perform data collection, analysis and submission to both data resources. The system is designed to be extensible, allowing integration with other manufacturer instruments covering a range of analytical techniques.