Affiliations: Faculty of Biosciences, BIOQUANT, INF 267, 69120
Heidelberg and Bioinformatics and Computational Biochemistry Group, EML
Research, Schloss-Wolfsbrunnenweg 33, 69118 Heidelberg, Germany. E-mail:
[email protected]
Abstract: Computational approaches to biochemistry like modeling and
simulation are dependent on the availability of kinetic information. This
information can either be directly derived from experimental data generated by
collaborators or has to be digged up from literature, often both. More
recently, data stored in databases has started to be a valuable addition as a
source of enzyme kinetic data. In order to faciliate modeling and simulation,
various tools have been developed in recent years. However, automatizing steps
in setting up, analyzing or simulating models requires the data to be in
defined formats. Crucial points are addressed below.
Keywords: Modeling, simulation, enzyme kinetics, database use
Journal: In Silico Biology, vol. 7, no. 2 Supplement, pp. 65-71, 2007