title: Proteomic tools for the analysis of cytoskeleton proteins.
abstract: Proteomic tools have become an essential part of the tool kit of the molecular biologist, and provide techniques for detecting homologous sequences, recognizing functional domains, modeling, and analyzing the three-dimensional structure for any given protein sequence. Although a wealth of structural and functional information is available for a large number of members of the various classes of cytoskeletal proteins, many more members remain uncharacterized. These computational tools that are freely and easily accessible to the scientific community provide an excellent starting point to predict the structural and functional properties of such partially or fully uncharacterized protein sequences, and can lead to elegantly designed experiments to probe the hypothesized function. This chapter discusses various proteomic analysis tools with a focus on protein structure and function predictions.
authors.affiliation: Department of Biology, Brooklyn College-CUNY, Brooklyn, NY, USA.
authors.forename: Ewa
authors.initials: E
authors.lastname: Wywial
authors.forename: Vishnubhat Nataraj
authors.initials: VN
authors.lastname: Dongre
authors.forename: Shaneen M
authors.initials: SM
authors.lastname: Singh
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D001665:Binding Sites; D019295:Computational Biology / Q000379:methods; D003598:Cytoskeletal Proteins / Q000145:classification / Q000235:genetics*; D030562:Databases, Protein; D008024:Ligands; D011487:Protein Conformation; D017433:Protein Structure, Secondary; D017434:Protein Structure, Tertiary / Q000235:genetics; D040901:Proteomics / Q000379:methods*; D016415:Sequence Alignment / Q000379:methods; D020539:Sequence Analysis, Protein; D017386:Sequence Homology, Amino Acid; D012984:Software
chemical_list: D003598:Cytoskeletal Proteins; D008024:Ligands