RT Journal Article
SR Electronic
T1 Characterising Complex Enzyme Reaction Data
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 028142
DO 10.1101/028142
A1 Handan Melike Dönertaş
A1 Sergio Martínez Cuesta
A1 Syed Asad Rahman
A1 Janet M. Thornton
YR 2015
UL http://biorxiv.org/content/early/2015/10/06/028142.abstract
AB The relationship between enzyme-catalysed reactions and the Enzyme Commission (EC) number, the widely accepted classification scheme used to characterise enzyme activity, is complex and with the rapid increase in our knowledge of the reactions catalysed by enzymes needs revisiting. We present a manual and computational analysis to investigate this complexity and found that almost one-third of all known EC numbers are linked to more than one reaction in the secondary reaction databases (e.g. KEGG). Although this complexity is often resolved by defining generic, alternative and partial reactions, we have also found individual EC numbers with more than one reaction catalysing different types of bond changes. This analysis adds a new dimension to our understanding of enzyme function and might be useful for the accurate annotation of the function of enzymes and to study the changes in enzyme function during evolution.