Literature DB >> 21731588

A short survey on protein blocks.

Agnel Praveen Joseph1, 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.   

Abstract

Protein structures are classically described in terms of secondary structures. Even if the regular secondary structures have relevant physical meaning, their recognition from atomic coordinates has some important limitations such as uncertainties in the assignment of boundaries of helical and β-strand regions. Further, on an average about 50% of all residues are assigned to an irregular state, i.e., the coil. Thus different research teams have focused on abstracting conformation of protein backbone in the localized short stretches. Using different geometric measures, local stretches in protein structures are clustered in a chosen number of states. A prototype representative of the local structures in each cluster is generally defined. These libraries of local structures prototypes are named as "structural alphabets". We have developed a structural alphabet, named Protein Blocks, not only to approximate the protein structure, but also to predict them from sequence. Since its development, we and other teams have explored numerous new research fields using this structural alphabet. We review here some of the most interesting applications.

Entities:  

Year:  2010        PMID: 21731588      PMCID: PMC3124139          DOI: 10.1007/s12551-010-0036-1

Source DB:  PubMed          Journal:  Biophys Rev        ISSN: 1867-2450


  46 in total

1.  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

2.  Combinatorial mutagenesis to restrict amino acid usage in an enzyme to a reduced set.

Authors:  Satoshi Akanuma; Takanori Kigawa; Shigeyuki Yokoyama
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-02       Impact factor: 11.205

3.  A substitution matrix for structural alphabet based on structural alignment of homologous proteins and its applications.

Authors:  Manoj Tyagi; Venkataraman S Gowri; Narayanaswamy Srinivasan; Alexandre G de Brevern; Bernard Offmann
Journal:  Proteins       Date:  2006-10-01

4.  Using reduced amino acid composition to predict defensin family and subfamily: Integrating similarity measure and structural alphabet.

Authors:  Yong-Chun Zuo; Qian-Zhong Li
Journal:  Peptides       Date:  2009-07-08       Impact factor: 3.750

5.  A 3D building blocks approach to analyzing and predicting structure of proteins.

Authors:  R Unger; D Harel; S Wherland; J L Sussman
Journal:  Proteins       Date:  1989

6.  Functional insights revealed by the crystal structures of Escherichia coli glucose-1-phosphatase.

Authors:  Daniel C Lee; Michael A Cottrill; Cecil W Forsberg; Zongchao Jia
Journal:  J Biol Chem       Date:  2003-06-01       Impact factor: 5.157

7.  Analyzing the sequence-structure relationship of a library of local structural prototypes.

Authors:  Cristina Benros; Alexandre G de Brevern; Serge Hazout
Journal:  J Theor Biol       Date:  2008-10-14       Impact factor: 2.691

8.  Local protein structure prediction using discriminative models.

Authors:  Oliver Sander; Ingolf Sommer; Thomas Lengauer
Journal:  BMC Bioinformatics       Date:  2006-01-11       Impact factor: 3.169

9.  Protein Block Expert (PBE): a web-based protein structure analysis server using a structural alphabet.

Authors:  M Tyagi; P Sharma; C S Swamy; F Cadet; N Srinivasan; A G de Brevern; B Offmann
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

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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  44 in total

1.  Cis-trans peptide variations in structurally similar proteins.

Authors:  Agnel Praveen Joseph; Narayanaswamy Srinivasan; Alexandre G de Brevern
Journal:  Amino Acids       Date:  2012-01-08       Impact factor: 3.520

2.  Prediction of ketoacyl synthase family using reduced amino acid alphabets.

Authors:  Wei Chen; Pengmian Feng; Hao Lin
Journal:  J Ind Microbiol Biotechnol       Date:  2011-10-26       Impact factor: 3.346

3.  Aryl hydrocarbon receptor gene transitions (c.-742C>T; c.1661G>A) and idiopathic male infertility: a case-control study with in silico and meta-analysis.

Authors:  Younes Aftabi; Abasalt Hosseinzadeh Colagar; Faramarz Mehrnejad; Ensiyeh Seyedrezazadeh; Emadoddin Moudi
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-15       Impact factor: 4.223

4.  β-Bulges: extensive structural analyses of β-sheets irregularities.

Authors:  Pierrick Craveur; Agnel Praveen Joseph; Joseph Rebehmed; Alexandre G de Brevern
Journal:  Protein Sci       Date:  2013-09-14       Impact factor: 6.725

5.  Evolution of the Phosphoenolpyruvate Carboxylase Protein Kinase Family in C3 and C4 Flaveria spp.

Authors:  Sophia H Aldous; Sean E Weise; Thomas D Sharkey; Daniel M Waldera-Lupa; Kai Stühler; Julia Mallmann; Georg Groth; Udo Gowik; Peter Westhoff; Borjana Arsova
Journal:  Plant Physiol       Date:  2014-05-21       Impact factor: 8.340

6.  Predicting protein flexibility through the prediction of local structures.

Authors:  Aurélie Bornot; Catherine Etchebest; Alexandre G de Brevern
Journal:  Proteins       Date:  2010-12-06

7.  A novel approach to represent and compare RNA secondary structures.

Authors:  Eugenio Mattei; Gabriele Ausiello; Fabrizio Ferrè; Manuela Helmer-Citterich
Journal:  Nucleic Acids Res       Date:  2014-04-21       Impact factor: 16.971

8.  Use of a structural alphabet to find compatible folds for amino acid sequences.

Authors:  Swapnil Mahajan; Alexandre G de Brevern; Yves-Henri Sanejouand; Narayanaswamy Srinivasan; Bernard Offmann
Journal:  Protein Sci       Date:  2014-10-25       Impact factor: 6.725

9.  RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information.

Authors:  V Suresh; Liang Liu; Donald Adjeroh; Xiaobo Zhou
Journal:  Nucleic Acids Res       Date:  2015-01-21       Impact factor: 16.971

10.  PRR repeats in the intracellular domain of KISS1R are important for its export to cell membrane.

Authors:  Lucie Chevrier; Alexandre de Brevern; Eva Hernandez; Jérome Leprince; Hubert Vaudry; Anne Marie Guedj; Nicolas de Roux
Journal:  Mol Endocrinol       Date:  2013-04-22
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