title: VIRTUAL2D: A web-accessible predictive database for proteomics analysis.
abstract: The available archive of sequence databases compiled from whole genome projects and budding proteomics efforts have enabled us to develop VIRTUAL2D, an interactive system for the assembly of virtual protein expression maps computed on the basis of theoretical isoelectric focusing point, molecular weight, tissue specificity and relative abundance for any set of proteins currently catalogued. This tool will assist in the preliminary, albeit putative, prediction of the identity and location of unknown and/or low abundance proteins in experimentally derived two-dimensional polyacrylamide gel electrophoresis maps.
authors.affiliation: Laboratory of Molecular Technology, National Cancer Institute, Frederick, MD 21702, USA. medjahed@ncifcrf.gov
authors.forename: Djamel
authors.initials: D
authors.lastname: Medjahed
authors.forename: Gary W
authors.initials: GW
authors.lastname: Smythers
authors.forename: Douglas A
authors.initials: DA
authors.lastname: Powell
authors.forename: Robert M
authors.initials: RM
authors.lastname: Stephens
authors.forename: Peter F
authors.initials: PF
authors.lastname: Lemkin
authors.forename: David J
authors.initials: DJ
authors.lastname: Munroe
mesh_terms: D000596:Amino Acids / Q000737:chemistry; D014408:Biomarkers, Tumor; D019992:Databases as Topic; D015180:Electrophoresis, Gel, Two-Dimensional; D020224:Expressed Sequence Tags; D006801:Humans; D006863:Hydrogen-Ion Concentration; D020407:Internet; D020543:Proteome; D040901:Proteomics / Q000379:methods*; D012984:Software; D013223:Statistics as Topic / Q000379:methods
chemical_list: D000596:Amino Acids; D014408:Biomarkers, Tumor; D020543:Proteome