Proceedings of the 3rd International Beilstein Workshop on Experimental Standard Conditions of Enzyme Characterizations | ISBN 9783832520380

Proceedings of the 3rd International Beilstein Workshop on Experimental Standard Conditions of Enzyme Characterizations

herausgegeben von Carsten Kettner und Martin G. Hicks
Mitwirkende
Herausgegeben vonCarsten Kettner
Herausgegeben vonMartin G. Hicks
Buchcover Proceedings of the 3rd International Beilstein Workshop on Experimental Standard Conditions of Enzyme Characterizations  | EAN 9783832520380 | ISBN 3-8325-2038-4 | ISBN 978-3-8325-2038-0

Proceedings of the 3rd International Beilstein Workshop on Experimental Standard Conditions of Enzyme Characterizations

herausgegeben von Carsten Kettner und Martin G. Hicks
Mitwirkende
Herausgegeben vonCarsten Kettner
Herausgegeben vonMartin G. Hicks
The almost complete sequencing of the genomes from numerous organisms paved the way
for the development and application of new experimental and instrumental techniques which
contribute to the understanding of complex biological pathways and networks by providing
apparently endless opportunities to generate massive amounts of data. Cell machinery is
currently envisaged as an inter-relationship of enzymes, proteins and chemical compounds.
However, both a large number of metabolic pathways and enzymes even in well-described
pathways still remain unknown. It is therefore necessary to develop further experimental and
mathematical methods to reconstruct unknown parts of the networks, to identify genes for
missing enzymes and to characterize the kinetic behaviour of those enzymes that have been
identified.
The post-genomic era is also characterized by the concept of systems biology. This has
gained significant momentum and metabolic research is now being conducted on an integrated
and cross-disciplinary platform pulling together its resources from diverse fields such
as mathematics, computational biology, bioinformatics, functional genomics and proteomics,
and structural biology.
The enormous growth in the computation speed and data storage capability has fuelled new
opportunities for both the accumulation of massive amounts of sequence, expression and
functional data and the characterization, analysis and comparison of larger biological systems.
However, as long as the data quality of the in-put and the resulting modelling data
cannot be improved, the chances of success for this young discipline to escape from the
verbally overused â omics-sciences are poor.
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. One perspective of the output can be the
investigation of cellular pathways involved in disease biology and targeted by newer molecular
therapeutics. The understanding of these processes will assist the development of early
diagnosis, prognosis and the prediction of response to individual therapies.
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.