title: The serine protease inhibitor canonical loop conformation: examples found in extracellular hydrolases, toxins, cytokines and viral proteins.
abstract: Methods for the prediction of protein function from structure are of growing importance in the age of structural genomics. Here, we focus on the problem of identifying sites of potential serine protease inhibitor interactions on the surface of proteins of known structure. Given that there is no sequence conservation within canonical loops from different inhibitor families, we first compare representative loops to all fragments of equal length among proteins of known structure by calculating main-chain RMS deviation. Fragments with RMS deviation below a certain threshold (hits) are removed if residues have solvent accessibilities appreciably lower than those observed in the search structure. These remaining hits are further filtered to remove those occurring largely within secondary structure elements. Likely functional significance is restricted further by considering only extracellular protein domains. By comparing different canonical loop structures to the protein structure database, we show that the method is able to detect previously known inhibitors. In addition, we discuss potentially new canonical loop structures found in secreted hydrolases, toxins, viral proteins, cytokines and other proteins. We discuss the possible functional significance of several of the examples found, and comment on implications for the prediction of function from protein 3D structure.
authors.affiliation: Department of Biochemistry, University College, Gower Street, London, WC1E 6BT, UK. jackson@biochem.ucl.ac.uk
authors.forename: R M
authors.initials: RM
authors.lastname: Jackson
authors.forename: R B
authors.initials: RB
authors.lastname: Russell
mesh_terms: D000595:Amino Acid Sequence; D001665:Binding Sites; D019295:Computational Biology; D016207:Cytokines / Q000737:chemistry* / Q000378:metabolism; D016208:Databases, Factual; D016678:Genome; D006867:Hydrolases / Q000737:chemistry* / Q000378:metabolism; D008958:Models, Molecular; D008969:Molecular Sequence Data; D008970:Molecular Weight; D011485:Protein Binding; D011487:Protein Conformation; D015203:Reproducibility of Results; D015842:Serine Proteinase Inhibitors / Q000737:chemistry* / Q000235:genetics / Q000378:metabolism*; D012997:Solvents; D013329:Structure-Activity Relationship; D014118:Toxins, Biological / Q000737:chemistry* / Q000378:metabolism; D014764:Viral Proteins / Q000737:chemistry* / Q000378:metabolism
chemical_list: D016207:Cytokines; D015842:Serine Proteinase Inhibitors; D012997:Solvents; D014118:Toxins, Biological; D014764:Viral Proteins; D006867:Hydrolases