Literature DB >> 17342707

Backbone building from quadrilaterals: a fast and accurate algorithm for protein backbone reconstruction from alpha carbon coordinates.

Dominik Gront1, Sebastian Kmiecik1, Andrzej Kolinski1.   

Abstract

In this contribution, we present an algorithm for protein backbone reconstruction that comprises very high computational efficiency with high accuracy. Reconstruction of the main chain atomic coordinates from the alpha carbon trace is a common task in protein modeling, including de novo structure prediction, comparative modeling, and processing experimental data. The method employed in this work follows the main idea of some earlier approaches to the problem. The details and careful design of the present approach are new and lead to the algorithm that outperforms all commonly used earlier applications. BBQ (Backbone Building from Quadrilaterals) program has been extensively tested both on native structures as well as on near-native decoy models and compared with the different available existing methods. Obtained results provide a comprehensive benchmark of existing tools and evaluate their applicability to a large scale modeling using a reduced representation of protein conformational space. The BBQ package is available for downloading from our website at http://biocomp.chem.uw.edu.pl/services/BBQ/. This webpage also provides a user manual that describes BBQ functions in detail. Copyright (c) 2007 Wiley Periodicals, Inc.

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Year:  2007        PMID: 17342707     DOI: 10.1002/jcc.20624

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  41 in total

1.  Predicting three-dimensional structures of transmembrane domains of β-barrel membrane proteins.

Authors:  Hammad Naveed; Yun Xu; Ronald Jackups; Jie Liang
Journal:  J Am Chem Soc       Date:  2012-01-12       Impact factor: 15.419

2.  Multiscale ensemble modeling of intrinsically disordered proteins: p53 N-terminal domain.

Authors:  Tsuyoshi Terakawa; Shoji Takada
Journal:  Biophys J       Date:  2011-09-20       Impact factor: 4.033

3.  Characterizing protein energy landscape by self-learning multiscale simulations: application to a designed β-hairpin.

Authors:  Wenfei Li; Shoji Takada
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

4.  A probabilistic and continuous model of protein conformational space for template-free modeling.

Authors:  Feng Zhao; Jian Peng; Joe Debartolo; Karl F Freed; Tobin R Sosnick; Jinbo Xu
Journal:  J Comput Biol       Date:  2010-06       Impact factor: 1.479

5.  Folding pathway of the b1 domain of protein G explored by multiscale modeling.

Authors:  Sebastian Kmiecik; Andrzej Kolinski
Journal:  Biophys J       Date:  2007-09-21       Impact factor: 4.033

6.  Characterization of protein-folding pathways by reduced-space modeling.

Authors:  Sebastian Kmiecik; Andrzej Kolinski
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-16       Impact factor: 11.205

7.  Predicting the complex structure and functional motions of the outer membrane transporter and signal transducer FecA.

Authors:  Taner Z Sen; Margaret Kloster; Robert L Jernigan; Andrzej Kolinski; Janusz M Bujnicki; Andrzej Kloczkowski
Journal:  Biophys J       Date:  2008-01-04       Impact factor: 4.033

8.  Stabilizing effect of knots on proteins.

Authors:  Joanna I Sułkowska; Piotr Sulkowski; P Szymczak; Marek Cieplak
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-08       Impact factor: 11.205

9.  A Probabilistic Graphical Model for Ab Initio Folding.

Authors:  Feng Zhao; Jian Peng; Joe Debartolo; Karl F Freed; Tobin R Sosnick; Jinbo Xu
Journal:  Res Comput Mol Biol       Date:  2009

10.  Mining tertiary structural motifs for assessment of designability.

Authors:  Jian Zhang; Gevorg Grigoryan
Journal:  Methods Enzymol       Date:  2013       Impact factor: 1.600

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