Literature DB >> 12824330

LGA: A method for finding 3D similarities in protein structures.

Adam Zemla1.   

Abstract

We present the LGA (Local-Global Alignment) method, designed to facilitate the comparison of protein structures or fragments of protein structures in sequence dependent and sequence independent modes. The LGA structure alignment program is available as an online service at http://PredictionCenter.llnl.gov/local/lga. Data generated by LGA can be successfully used in a scoring function to rank the level of similarity between two structures and to allow structure classification when many proteins are being analyzed. LGA also allows the clustering of similar fragments of protein structures.

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Year:  2003        PMID: 12824330      PMCID: PMC168977          DOI: 10.1093/nar/gkg571

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  10 in total

1.  Analysis and assessment of ab initio three-dimensional prediction, secondary structure, and contacts prediction.

Authors:  C A Orengo; J E Bray; T Hubbard; L LoConte; I Sillitoe
Journal:  Proteins       Date:  1999

2.  Analysis and assessment of comparative modeling predictions in CASP4.

Authors:  A Tramontano; R Leplae; V Morea
Journal:  Proteins       Date:  2001

3.  Processing and evaluation of predictions in CASP4.

Authors:  A Zemla; J Moult; K Fidelis
Journal:  Proteins       Date:  2001

4.  ProSup: a refined tool for protein structure alignment.

Authors:  P Lackner; W A Koppensteiner; M J Sippl; F S Domingues
Journal:  Protein Eng       Date:  2000-11

5.  Protein structure alignment by incremental combinatorial extension (CE) of the optimal path.

Authors:  I N Shindyalov; P E Bourne
Journal:  Protein Eng       Date:  1998-09

6.  Numerical criteria for the evaluation of ab initio predictions of protein structure.

Authors:  A Zemla; C Venclovas; A Reinhardt; K Fidelis; T J Hubbard
Journal:  Proteins       Date:  1997

Review 7.  Surprising similarities in structure comparison.

Authors:  J F Gibrat; T Madej; S H Bryant
Journal:  Curr Opin Struct Biol       Date:  1996-06       Impact factor: 6.809

8.  Optimum superimposition of protein structures: ambiguities and implications.

Authors:  Z K Feng; M J Sippl
Journal:  Fold Des       Date:  1996

9.  Protein structure comparison by alignment of distance matrices.

Authors:  L Holm; C Sander
Journal:  J Mol Biol       Date:  1993-09-05       Impact factor: 5.469

10.  Processing and analysis of CASP3 protein structure predictions.

Authors:  A Zemla; C Venclovas; J Moult; K Fidelis
Journal:  Proteins       Date:  1999
  10 in total
  410 in total

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Authors:  Son P Nguyen; Yi Shang; Dong Xu
Journal:  Proc Int Jt Conf Neural Netw       Date:  2014-07

2.  SA-Search: a web tool for protein structure mining based on a Structural Alphabet.

Authors:  Frédéric Guyon; Anne-Claude Camproux; Joëlle Hochez; Pierre Tufféry
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  Modeling large regions in proteins: applications to loops, termini, and folding.

Authors:  Aashish N Adhikari; Jian Peng; Michael Wilde; Jinbo Xu; Karl F Freed; Tobin R Sosnick
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4.  Improving the physical realism and structural accuracy of protein models by a two-step atomic-level energy minimization.

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Journal:  Biophys J       Date:  2011-11-15       Impact factor: 4.033

5.  An iterative self-refining and self-evaluating approach for protein model quality estimation.

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Journal:  Protein Sci       Date:  2011-11-23       Impact factor: 6.725

6.  RNA-Puzzles: a CASP-like evaluation of RNA three-dimensional structure prediction.

Authors:  José Almeida Cruz; Marc-Frédérick Blanchet; Michal Boniecki; Janusz M Bujnicki; Shi-Jie Chen; Song Cao; Rhiju Das; Feng Ding; Nikolay V Dokholyan; Samuel Coulbourn Flores; Lili Huang; Christopher A Lavender; Véronique Lisi; François Major; Katarzyna Mikolajczak; Dinshaw J Patel; Anna Philips; Tomasz Puton; John Santalucia; Fredrick Sijenyi; Thomas Hermann; Kristian Rother; Magdalena Rother; Alexander Serganov; Marcin Skorupski; Tomasz Soltysinski; Parin Sripakdeevong; Irina Tuszynska; Kevin M Weeks; Christina Waldsich; Michael Wildauer; Neocles B Leontis; Eric Westhof
Journal:  RNA       Date:  2012-02-23       Impact factor: 4.942

7.  An automatic method for CASP9 free modeling structure prediction assessment.

Authors:  Qian Cong; Lisa N Kinch; Jimin Pei; Shuoyong Shi; Vyacheslav N Grishin; Wenlin Li; Nick V Grishin
Journal:  Bioinformatics       Date:  2011-10-12       Impact factor: 6.937

8.  Genomics-aided structure prediction.

Authors:  Joanna I Sułkowska; Faruck Morcos; Martin Weigt; Terence Hwa; José N Onuchic
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-12       Impact factor: 11.205

9.  Assessment of template-based protein structure predictions in CASP10.

Authors:  Yuanpeng J Huang; Binchen Mao; James M Aramini; Gaetano T Montelione
Journal:  Proteins       Date:  2014-02

10.  The expanded FindCore method for identification of a core atom set for assessment of protein structure prediction.

Authors:  David A Snyder; Jennifer Grullon; Yuanpeng J Huang; Roberto Tejero; Gaetano T Montelione
Journal:  Proteins       Date:  2014-02
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