title: Protein structure prediction and analysis as a tool for functional genomics.
abstract: Bioinformatic analyses of whole genome sequences highlight the problem of identifying the biochemical and cellular functions of the many gene products that are at present uncharacterised. Determination of their three-dimensional structures, either experimentally or by prediction, provides a powerful tool to address function, since it is at this level that biological activity is expressed. Here, we discuss the current approaches to protein structure prediction from sequence data, including the ab initio prediction of new folds, methods of fold recognition and comparative modelling based on homology. The value and limitations of such models are also explored. A major factor for the future will be the growth of the database of experimentally determined protein structures, through structural genomics projects. The prospects for this approach are also discussed, together with our experience in a pilot structural genomics project focused on proteins from Mycobacterium tuberculosis, the cause of tuberculosis (TB).
authors.affiliation: Centre of Molecular Biodiscovery and School of Biological Sciences, University of Auckland, Auckland, New Zealand. ted.baker@auckland.ac.nz
authors.forename: Edward N
authors.initials: EN
authors.lastname: Baker
authors.forename: Vickery L
authors.initials: VL
authors.lastname: Arcus
authors.forename: J Shaun
authors.initials: JS
authors.lastname: Lott
mesh_terms: D003198:Computer Simulation; D030562:Databases, Protein; D023281:Genomics / Q000379:methods; D008958:Models, Molecular; D011487:Protein Conformation; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry* / Q000145:classification / Q000235:genetics / Q000378:metabolism*; D040901:Proteomics / Q000379:methods*; D016415:Sequence Alignment / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods*; D013329:Structure-Activity Relationship
chemical_list: D011506:Proteins