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Article type: Research Article
Authors: de Brevern, Alexandre G. | Benros, Cristina | Gautier, Romain; | Valadié, Héléne; | Hazout, Serge | Etchebest, Catherine
Affiliations: Equipe de Bioinformatique Génomique et Moléculaire (EBGM), INSERM E03-46, Université Denis Diderot - Paris 7, case 7113, 2, place Jussieu, 75251 Paris, France. Tel.: +33 1 44 27 77 31; Fax: +33 1 43 26 38 30 | Université Pierre & Marie Curie - Paris 6, 75005 Paris, France | CEA, 17 avenue des Martyrs, 38054 Grenoble, France. E-mail: [email protected]
Note: [] Corresponding author
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 (Φ, Ψ) 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.
Keywords: structure prediction, confidence index, bayesian approach
Journal: In Silico Biology, vol. 4, no. 3, pp. 381-386, 2004
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