Local backbone structure prediction of proteins |
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Authors: | de Brevern Alexandre G Benros Cristina Gautier Romain Valadié Héléne Hazout Serge Etchebest Catherine |
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Institution: | Equipe de Bioinformatique Génomique et Moléculaire, INSERM E03-46, Université Denis Diderot - Paris 7, 75251 Paris, France. alexandre.debrevern@ebgm.jussieu.fr |
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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. |
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