title: Proteomic informatics: in silico methods lead to data management challenges.
abstract: Proteomics, which identifies proteins and analyzes their function in cells, is foreseen as the next challenge in biomedicine as diseases in the body are most easily recognized through the function of their proteins. Achieving this recognition is more difficult than pure gene analysis: it is estimated that 35,000 genes are present in human DNA, encoding more than 1 million proteins. A myriad of in vitro and in silico technologies now exist for studying proteins and their biological function. This review focuses on the vast array of in silico proteomic analysis methods, highlights public and commercial repositories for this data, and discusses the challenges associated with resolving and integrating the knowledge originating from this data.
authors.affiliation: Accelrys Inc, 9685 Scranton Road, San Diego, CA 92121-3752, USA.
authors.forename: Dana
authors.initials: D
authors.lastname: Haley-Vicente
authors.forename: David J
authors.initials: DJ
authors.lastname: Edwards
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D019295:Computational Biology / Q000379:methods / Q000639:trends; D003628:Database Management Systems / Q000639:trends; D006801:Humans; D008490:Medical Informatics / Q000379:methods* / Q000639:trends; D008969:Molecular Sequence Data; D040901:Proteomics / Q000379:methods* / Q000639:trends