title: Reconstruction of metabolic networks using incomplete information.
abstract: 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.
authors.affiliation: Mathematics and Computer Science Division, Argonne National Laboratory, IL 60432, USA.
authors.forename: T
authors.initials: T
authors.lastname: Gaasterland
authors.forename: E
authors.initials: E
authors.lastname: Selkov
mesh_terms: D000465:Algorithms; D001331:Automation; D016208:Databases, Factual; D004798:Enzymes / Q000378:metabolism*; D008660:Metabolism; D009174:Mycoplasma / Q000145:classification / Q000235:genetics; D016571:Neural Networks, Computer; D010427:Pentose Phosphate Pathway; D010802:Phylogeny; D011387:Prokaryotic Cells / Q000378:metabolism; D012329:RNA, Bacterial / Q000235:genetics; D012335:RNA, Ribosomal / Q000235:genetics*; D012984:Software; D013149:Spiroplasma / Q000145:classification / Q000235:genetics
chemical_list: D004798:Enzymes; D012329:RNA, Bacterial; D012335:RNA, Ribosomal