title: Local backbone structure prediction of proteins.
abstract: A statistical analysis of the PDB structures has led us to define a new set of small 3D structural prototypes called Protein Blocks (PBs). This structural alphabet includes 16 PBs, each one is defined by the (phi, psi) dihedral angles of 5 consecutive residues. The amino acid distributions observed in sequence windows encompassing these PBs are used to predict by a Bayesian approach the local 3D structure of proteins from the sole knowledge of their sequences. LocPred is a software which allows the users to submit a protein sequence and performs a prediction in terms of PBs. The prediction results are given both textually and graphically.
authors.affiliation: Equipe de Bioinformatique Génomique et Moléculaire, INSERM E03-46, Université Denis Diderot - Paris 7, 75251 Paris, France. alexandre.debrevern@ebgm.jussieu.fr
authors.forename: Alexandre G
authors.initials: AG
authors.lastname: de Brevern
authors.forename: Cristina
authors.initials: C
authors.lastname: Benros
authors.forename: Romain
authors.initials: R
authors.lastname: Gautier
authors.forename: Héléne
authors.initials: H
authors.lastname: Valadié
authors.forename: Serge
authors.initials: S
authors.lastname: Hazout
authors.forename: Catherine
authors.initials: C
authors.lastname: Etchebest
mesh_terms: D000595:Amino Acid Sequence; D008958:Models, Molecular; D008969:Molecular Sequence Data; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins
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