Abstract: Systems level investigation of genomic and proteomic scale
information requires incomparably higher demands for data quality than in
previous decades. Truly integrated databases that deal with heterogeneous data
need to be developed to be able to retrieve properties of genes, for kinetics
of enzymes, for behaviour of complex networks and for the analysis and
modelling of complex biological processes. Despite the fast paced global
efforts in biological systems research, the current analyses are limited by the
lack of available systematic collections of comparable functional enzyme data.
Besides its reliability, these data have to provide defined minimum
experimental information, they must be available from the literature along with
their accepted enzyme names, and must be as comprehensive as possible. However,
the reality reveals a different picture: the quality of experimental data of
enzymes is insufficient for the needs of systems level investigations. A 2003
founded working group, called STRENDA, recently published suggestions which
intend both to improve the quality of reporting functional enzyme data and to
support the comparability of inter alia enzyme kinetics for their
application in the in silico investigation of biological systems.
Keywords: Enzymology, systems biology, functional enzyme data, modelling, simulation, STRENDA, comparability of data, minimum experimental information
Journal: In Silico Biology, vol. 7, no. 2 Supplement, pp. 57-64, 2007
