Kettner Carsten
Beilstein-Institut, Frankfurt/Main, Germany.
In Silico Biol. 2007;7(2 Suppl):S57-64.
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.
与过去几十年相比，对基因组和蛋白质组规模信息进行系统层面的研究对数据质量的要求要高得多。需要开发能够处理异构数据的真正集成数据库，以便能够检索基因的特性、酶的动力学、复杂网络的行为以及复杂生物过程的分析和建模。尽管全球在生物系统研究方面步伐迅速，但目前的分析受到缺乏可用的可比功能酶数据系统收集的限制。除了可靠性之外，这些数据必须提供明确的最低实验信息，必须能从文献中获取并带有公认的酶名称，而且必须尽可能全面。然而，现实情况却有所不同：酶的实验数据质量不足以满足系统层面研究的需求。一个2003年成立的名为STRENDA的工作组最近发表了一些建议，旨在提高功能性酶数据的报告质量，并支持特别是酶动力学在生物系统计算机模拟研究中的可比性。
