Standardization of Enzyme Data
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News
Sep. 2011
13 additional journals adopted the STRENDA Guidelines for their instructions for authors.
Jan. 2011
Frank Raushel (Texas A&M University) has been appointed to the STRENDA Commission.
Dec. 2nd - 3rd, 2010
Meeting of the Checklist representatives at the 2nd MIBBI Workshop
Oct. 15th, 2010
The STRENDA Electronic Data-Submission Form is now available.
Aug. 23rd - 26th, 2010
Meeting of the STRENDA Commission in Assmannshausen, Germany
June 26th - July 1st, 2010
STRENDA at the FEBS Congress in Gothenburg, Sweden
Nov. 2009:
11 additional journals adopted the STRENDA Guidelines for their instructions for authors.
Oct. 2009:
The Commission provides a generic introduction to the Guidelines that can be used by the journals for inclusion in their instructions for authors.
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STRENDA is a Commission created by the Beilstein-Institut. The name represents Standards for Reporting Enzymology Data. The STRENDA Commission has been constituted in Frankfurt am Main, Germany, in February 2004.
The STRENDA commission is accompanied by ESCEC symposia. ESCEC stands for "Experimental Standard Conditions of Enzyme Characterizations" and is the name for a series of symposia on which a. o. the results of the brain storming within the STRENDA group as well as the latest developments in enzymology and systems biology are presented and discussed.
Large amounts of published data are available on the behaviour of individual enzymes, but even a cursory examination of the literature will reveal that these were often collected under quite disparate conditions, of pH, temperature, ionic strength etc. Furthermore, full details of the assay conditions that were used are often lacking.
These problems often make it difficult for researchers to compare the behaviour of a single enzyme in different species or tissues by collating different publications. The difficulties are often further compounded by the lack of any statistical data on the parameters reported. When the values differ by orders of magnitude, as they do for example in comparisons between the hexokinase isoenzymes found in different tissues, lack of knowledge about the precision of the reported values may not matter very much; but in comparing enzymes between species the values may only differ by a few percent, and in such cases an unknown degree of imprecision may completely hide whatever effect one is trying to see.
The difficulties become even more acute for those wishing to use published data to model the behaviour of metabolic systems, cellular behaviour and the interaction of cells within tissues and organs.
