title: Understanding the yeast proteome: a bioinformatics perspective.
abstract: Rapid development of genomic and proteomic methodologies has provided a wealth of data for deciphering the biomolecular circuitry of a living cell. The main areas of computational research of proteomes outlined in this review are: understanding the system, its features and parameters to help plan the experiments; data integration, to help produce more reliable data sets; visualization and other forms of data representation to simplify interpretation; modeling of the functional regulation; and systems biology. With false-positive rates reaching 50% even in the more reliable data sets, handling the experimental error remains one of the most challenging tasks. Integrative approaches, incorporating results of various genome- and proteome-wide experiments, allow for minimizing the error and bring with them significant predictive power.
authors.affiliation: GPC Biotech, Fraunhoferstr. 20, Martinsried 82152, Germany. andrei.grigonev@gpc.biotech.com
authors.forename: Andrei
authors.initials: A
authors.lastname: Grigoriev
mesh_terms: D019295:Computational Biology; D005656:Fungal Proteins / Q000737:chemistry / Q000235:genetics; D020543:Proteome / Q000737:chemistry / Q000235:genetics; D040901:Proteomics / Q000379:methods*; D012333:RNA, Messenger / Q000235:genetics; D029701:Saccharomyces cerevisiae Proteins / Q000737:chemistry* / Q000235:genetics
chemical_list: D005656:Fungal Proteins; D020543:Proteome; D012333:RNA, Messenger; D029701:Saccharomyces cerevisiae Proteins