title: Online homology modelling as a means of bridging the sequence-structure gap.
abstract: For even the best-studied species, there is a large gap in their representation in the protein databank (PDB) compared to within sequence databases. Typically, less than 2% of sequences are represented in the PDB. This is partly due to the considerable experimental challenge and manual inputs required to solve three dimensional structures by methods such as X-ray diffraction and multi-dimensional nuclear magnetic resonance (NMR) spectroscopy in comparison to high-throughput sequencing. This gap is made even wider by the high level of redundancy within the PDB and under-representation of some protein categories such as membrane-associated proteins which comprise approximately 25% of proteins encoded in genomes. A traditional route to closing the sequence-structure gap is offered by homology modelling whereby the sequence of a target protein is modelled on a template represented in the PDB using in silico energy minimisation approaches. More recently, online homology servers have become available which automatically generate models from proffered sequences. However, many online servers give little indication of the structural plausibility of the generated model. In this paper, the online homology server Geno3D will be described. This server uses similar software to that used in modelling structures during structure determination and thus generates data allowing determination of the structural plausibility of models. For illustration, modelling of a chemotaxis protein (CheY) from Pseudomononas entomophila L48 (accession YP_609298) on a template (PDB id. 1mvo), the phosphorylation domain of an outer membrane protein PhoP from Bacillus subtilis, will be described.
authors: Proteomics Research Group, Department of Biochemistry, University College Cork, Lee Maltings, Prospect Row, Mardyke, Cork, Ireland. d.sheehan@ucc.ie
authors: David
authors: D
authors: Sheehan
authors: Siobhán
authors: S
authors: O'Sullivan
mesh_terms: D000465:Algorithms; D001412:Bacillus subtilis / Q000737:chemistry; D001426:Bacterial Proteins / Q000737:chemistry* / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D008565:Membrane Proteins / Q000737:chemistry* / Q000378:metabolism; D000072236:Methyl-Accepting Chemotaxis Proteins; D008958:Models, Molecular; D019906:Nuclear Magnetic Resonance, Biomolecular; D010766:Phosphorylation; D011487:Protein Conformation; D011549:Pseudomonas / Q000737:chemistry; D017386:Sequence Homology, Amino Acid; D012984:Software; D040681:Structural Homology, Protein; D014961:X-Ray Diffraction
chemical_list: D001426:Bacterial Proteins; D008565:Membrane Proteins; D000072236:Methyl-Accepting Chemotaxis Proteins; C061064:PhoP protein, Bacteria