Literature DB >> 15724288

Local backbone structure prediction of proteins.

Alexandre G de Brevern1, Cristina Benros, Romain Gautier, Héléne Valadié, Serge Hazout, Catherine Etchebest.   

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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Year:  2004        PMID: 15724288      PMCID: PMC1995003     

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  12 in total

1.  Protein secondary structure prediction based on position-specific scoring matrices.

Authors:  D T Jones
Journal:  J Mol Biol       Date:  1999-09-17       Impact factor: 5.469

2.  Bayesian probabilistic approach for predicting backbone structures in terms of protein blocks.

Authors:  A G de Brevern; C Etchebest; S Hazout
Journal:  Proteins       Date:  2000-11-15

3.  Prediction of protein secondary structure at 80% accuracy.

Authors:  T N Petersen; C Lundegaard; M Nielsen; H Bohr; J Bohr; S Brunak; G P Gippert; O Lund
Journal:  Proteins       Date:  2000-10-01

4.  Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.

Authors:  Gianluca Pollastri; Darisz Przybylski; Burkhard Rost; Pierre Baldi
Journal:  Proteins       Date:  2002-05-01

5.  'Hybrid protein model' for optimally defining 3D protein structure fragments.

Authors:  A G de Brevern; S Hazout
Journal:  Bioinformatics       Date:  2003-02-12       Impact factor: 6.937

6.  Fully automated ab initio protein structure prediction using I-SITES, HMMSTR and ROSETTA.

Authors:  Christopher Bystroff; Yu Shao
Journal:  Bioinformatics       Date:  2002       Impact factor: 6.937

7.  Extension of a local backbone description using a structural alphabet: a new approach to the sequence-structure relationship.

Authors:  Alexandre G de Brevern; Hélène Valadié; Serge Hazout; Catherine Etchebest
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

8.  Prediction of local structure in proteins using a library of sequence-structure motifs.

Authors:  C Bystroff; D Baker
Journal:  J Mol Biol       Date:  1998-08-21       Impact factor: 5.469

9.  RASMOL: biomolecular graphics for all.

Authors:  R A Sayle; E J Milner-White
Journal:  Trends Biochem Sci       Date:  1995-09       Impact factor: 13.807

10.  Use of a structural alphabet for analysis of short loops connecting repetitive structures.

Authors:  Laurent Fourrier; Cristina Benros; Alexandre G de Brevern
Journal:  BMC Bioinformatics       Date:  2004-05-12       Impact factor: 3.169

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  18 in total

1.  New assessment of a structural alphabet.

Authors:  Alexandre G de Brevern
Journal:  In Silico Biol       Date:  2005-03-16

2.  "Pinning strategy": a novel approach for predicting the backbone structure in terms of protein blocks from sequence.

Authors:  A G De Brevern; C Etchebest; C Benros; S Hazout
Journal:  J Biosci       Date:  2007-01       Impact factor: 1.826

3.  Improving the prediction accuracy of residue solvent accessibility and real-value backbone torsion angles of proteins by guided-learning through a two-layer neural network.

Authors:  Eshel Faraggi; Bin Xue; Yaoqi Zhou
Journal:  Proteins       Date:  2009-03

4.  Analysis of loop boundaries using different local structure assignment methods.

Authors:  Manoj Tyagi; Aurélie Bornot; Bernard Offmann; Alexandre G de Brevern
Journal:  Protein Sci       Date:  2009-09       Impact factor: 6.725

Review 5.  In silico studies on DARC.

Authors:  Alexandre G de Brevern; Ludovic Autin; Yves Colin; Olivier Bertrand; Catherine Etchebest
Journal:  Infect Disord Drug Targets       Date:  2009-06

6.  A reduced amino acid alphabet for understanding and designing protein adaptation to mutation.

Authors:  C Etchebest; C Benros; A Bornot; A-C Camproux; A G de Brevern
Journal:  Eur Biophys J       Date:  2007-06-13       Impact factor: 1.733

7.  The C Terminus of Rotavirus VP4 Protein Contains an Actin Binding Domain Which Requires Cooperation with the Coiled-Coil Domain for Actin Remodeling.

Authors:  Germain Trugnan; Serge Chwetzoff; Wilfried Condemine; Thibaut Eguether; Nathalie Couroussé; Catherine Etchebest; Agnes Gardet
Journal:  J Virol       Date:  2018-12-10       Impact factor: 5.103

8.  A short survey on protein blocks.

Authors:  Agnel Praveen Joseph; Garima Agarwal; Swapnil Mahajan; Jean-Christophe Gelly; Lakshmipuram S Swapna; Bernard Offmann; Frédéric Cadet; Aurélie Bornot; Manoj Tyagi; Hélène Valadié; Bohdan Schneider; Catherine Etchebest; Narayanaswamy Srinivasan; Alexandre G De Brevern
Journal:  Biophys Rev       Date:  2010-08-05

Review 9.  From local structure to a global framework: recognition of protein folds.

Authors:  Agnel Praveen Joseph; Alexandre G de Brevern
Journal:  J R Soc Interface       Date:  2014-04-16       Impact factor: 4.118

10.  Designing succinct structural alphabets.

Authors:  Shuai Cheng Li; Dongbo Bu; Xin Gao; Jinbo Xu; Ming Li
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

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