In silico local structure approach: a case study on outer membrane proteins.
The detection of Outer Membrane Proteins (OMP) in whole genomes is an actual question, their sequence characteristics have thus been intensively studied. This class of protein displays a common beta-barrel architecture, formed by adjacent antiparallel strands. However, due to the lack of available structures, few structural studies have been made on this class of proteins. Here we propose a novel OMP local structure investigation, based on a structural alphabet approach, i.e., the decomposition of 3D structures using a library of four-residue protein fragments. The optimal decomposition of structures using hidden Markov model results in a specific structural alphabet of 20 fragments, six of them dedicated to the decomposition of beta-strands. This optimal alphabet, called SA20-OMP, is analyzed in details, in terms of local structures and transitions between fragments. It highlights a particular and strong organization of beta-strands as series of regular canonical structural fragments. The comparison with alphabets learned on globular structures indicates that the internal organization of OMP structures is more constrained than in globular structures. The analysis of OMP structures using SA20-OMP reveals some recurrent structural patterns. The preferred location of fragments in the distinct regions of the membrane is investigated. The study of pairwise specificity of fragments reveals that some contacts between structural fragments in beta-sheets are clearly favored whereas others are avoided. This contact specificity is stronger in OMP than in globular structures. Moreover, SA20-OMP also captured sequential information. This can be integrated in a scoring function for structural model ranking with very promising results.
Martin
Juliette
J
INSERM UMR-S 726/Université Denis Diderot Paris 7, Equipe de Bioinformatique Génomique et Moléculaire, F-75005 Paris.
de Brevern
Alexandre G
AG
Camproux
Anne-Claude
AC
D001425:Bacterial Outer Membrane Proteins / Q000737:chemistry*; D019295:Computational Biology; D030562:Databases, Protein; D010446:Peptide Fragments / Q000737:chemistry; D011487:Protein Conformation
D001425:Bacterial Outer Membrane Proteins; D010446:Peptide Fragments