Literature DB >> 22987351

A modular perspective of protein structures: application to fragment based loop modeling.

Narcis Fernandez-Fuentes1, Andras Fiser.   

Abstract

Proteins can be decomposed into supersecondary structure modules. We used a generic definition of supersecondary structure elements, so-called Smotifs, which are composed of two flanking regular secondary structures connected by a loop, to explore the evolution and current variety of structure building blocks. Here, we discuss recent observations about the saturation of Smotif geometries in protein structures and how it opens new avenues in protein structure modeling and design. As a first application of these observations we describe our loop conformation modeling algorithm, ArchPred that takes advantage of Smotifs classification. In this application, instead of focusing on specific loop properties the method narrows down possible template conformations in other, often not homologous structures, by identifying the most likely supersecondary structure environment that cradles the loop. Beyond identifying the correct starting supersecondary structure geometry, it takes into account information of fit of anchor residues, sterical clashes, match of predicted and observed dihedral angle preferences, and local sequence signal.

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Year:  2013        PMID: 22987351      PMCID: PMC3635063          DOI: 10.1007/978-1-62703-065-6_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  57 in total

1.  Enhanced conformational diversity search of CDR-H3 in antibodies: role of the first CDR-H3 residue.

Authors:  S T Kim; H Shirai; N Nakajima; J Higo; H Nakamura
Journal:  Proteins       Date:  1999-12-01

2.  Closed loops of nearly standard size: common basic element of protein structure.

Authors:  I N Berezovsky; A Y Grosberg; E N Trifonov
Journal:  FEBS Lett       Date:  2000-01-28       Impact factor: 4.124

3.  Anatomy of protein structures: visualizing how a one-dimensional protein chain folds into a three-dimensional shape.

Authors:  C J Tsai; J V Maizel; R Nussinov
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

4.  Modeling of loops in protein structures.

Authors:  A Fiser; R K Do; A Sali
Journal:  Protein Sci       Date:  2000-09       Impact factor: 6.725

Review 5.  On the evolution of protein folds: are similar motifs in different protein folds the result of convergence, insertion, or relics of an ancient peptide world?

Authors:  A N Lupas; C P Ponting; R B Russell
Journal:  J Struct Biol       Date:  2001 May-Jun       Impact factor: 2.867

6.  Composites of local structure propensities: evidence for local encoding of long-range structure.

Authors:  David Shortle
Journal:  Protein Sci       Date:  2002-01       Impact factor: 6.725

7.  Protein structure prediction and structural genomics.

Authors:  D Baker; A Sali
Journal:  Science       Date:  2001-10-05       Impact factor: 47.728

Review 8.  Evolution and physics in comparative protein structure modeling.

Authors:  András Fiser; Michael Feig; Charles L Brooks; Andrej Sali
Journal:  Acc Chem Res       Date:  2002-06       Impact factor: 22.384

9.  Comparison of protein fragments identified by limited proteolysis and by computational cutting of proteins.

Authors:  Chung-Jung Tsai; Patrizia Polverino de Laureto; Angelo Fontana; Ruth Nussinov
Journal:  Protein Sci       Date:  2002-07       Impact factor: 6.725

10.  CODA: a combined algorithm for predicting the structurally variable regions of protein models.

Authors:  C M Deane; T L Blundell
Journal:  Protein Sci       Date:  2001-03       Impact factor: 6.725

View more
  7 in total

1.  Tertiary alphabet for the observable protein structural universe.

Authors:  Craig O Mackenzie; Jianfu Zhou; Gevorg Grigoryan
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-03       Impact factor: 11.205

Review 2.  Protein structural motifs in prediction and design.

Authors:  Craig O Mackenzie; Gevorg Grigoryan
Journal:  Curr Opin Struct Biol       Date:  2017-04-28       Impact factor: 6.809

3.  Distance-Guided Forward and Backward Chain-Growth Monte Carlo Method for Conformational Sampling and Structural Prediction of Antibody CDR-H3 Loops.

Authors:  Ke Tang; Jinfeng Zhang; Jie Liang
Journal:  J Chem Theory Comput       Date:  2016-12-20       Impact factor: 6.006

4.  Assessing the accuracy of contact predictions in CASP13.

Authors:  Rojan Shrestha; Eduardo Fajardo; Nelson Gil; Krzysztof Fidelis; Andriy Kryshtafovych; Bohdan Monastyrskyy; Andras Fiser
Journal:  Proteins       Date:  2019-10-24

5.  Fast protein loop sampling and structure prediction using distance-guided sequential chain-growth Monte Carlo method.

Authors:  Ke Tang; Jinfeng Zhang; Jie Liang
Journal:  PLoS Comput Biol       Date:  2014-04-24       Impact factor: 4.475

6.  Modularity of Protein Folds as a Tool for Template-Free Modeling of Structures.

Authors:  Brinda Vallat; Carlos Madrid-Aliste; Andras Fiser
Journal:  PLoS Comput Biol       Date:  2015-08-07       Impact factor: 4.475

7.  On the use of direct-coupling analysis with a reduced alphabet of amino acids combined with super-secondary structure motifs for protein fold prediction.

Authors:  Bernat Anton; Mireia Besalú; Oriol Fornes; Jaume Bonet; Alexis Molina; Ruben Molina-Fernandez; Gemma De Las Cuevas; Narcis Fernandez-Fuentes; Baldo Oliva
Journal:  NAR Genom Bioinform       Date:  2021-04-22
  7 in total

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