Gaasterland T, Selkov E
Mathematics and Computer Science Division, Argonne National Laboratory, IL 60432, USA.
Proc Int Conf Intell Syst Mol Biol. 1995;3:127-35.
This paper describes an approach that uses methods for automated sequence analysis (Gaasterland et al. August 1994) and multiple databases accessed through an object+attribute view of the data (Baehr et al. 1992), together with metabolic pathways, reaction equations, and compounds parsed into a logical representation from the Enzyme and Metabolic Pathway Database (Selkov, Yunus, & et.al. 1994), as the sources of data for automatically reconstructing a weighted partial metabolic network for a prokaryotic organism. Additional information can be provided interactively by the expert user to guide reconstruction.
本文描述了一种方法,该方法使用自动序列分析方法(Gaasterland等人,1994年8月)以及通过数据的对象+属性视图访问的多个数据库(Baehr等人,1992年),并结合代谢途径、反应方程式以及从酶和代谢途径数据库(Selkov、Yunus等人,1994年)解析为逻辑表示的化合物,作为自动重建原核生物加权部分代谢网络的数据来源。专家用户可以交互式地提供额外信息以指导重建。