Literature DB >> 15215349

Consensus alignment server for reliable comparative modeling with distant templates.

Jahnavi C Prasad1, Sandor Vajda, Carlos J Camacho.   

Abstract

Consensus is a server developed to produce high-quality alignments for comparative modeling, and to identify the alignment regions reliable for copying from a given template. This is accomplished even when target-template sequence identity is as low as 5%. Combining the output from five different alignment methods, the server produces a consensus alignment, with a reliability measure indicated for each position and a prediction of the regions suitable for modeling. Models built using the server predictions are typically within 3 A rms deviations from the crystal structure. Users can upload a target protein sequence and specify a template (PDB code); if no template is given, the server will search for one. The method has been validated on a large set of homologous protein structure pairs. The Consensus server should prove useful for modelers for whom the structural reliability of the model is critical in their applications. It is currently available at http://structure.bu.edu/cgi-bin/consensus/consensus.cgi.

Mesh:

Year:  2004        PMID: 15215349      PMCID: PMC441594          DOI: 10.1093/nar/gkh456

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


  10 in total

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2.  Application of multiple sequence alignment profiles to improve protein secondary structure prediction.

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3.  Processing and evaluation of predictions in CASP4.

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4.  A normalized root-mean-square distance for comparing protein three-dimensional structures.

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5.  CAFASP3: the third critical assessment of fully automated structure prediction methods.

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Journal:  Proteins       Date:  2003

6.  Consensus alignment for reliable framework prediction in homology modeling.

Authors:  J C Prasad; S R Comeau; S Vajda; C J Camacho
Journal:  Bioinformatics       Date:  2003-09-01       Impact factor: 6.937

7.  Hidden Markov models for detecting remote protein homologies.

Authors:  K Karplus; C Barrett; R Hughey
Journal:  Bioinformatics       Date:  1998       Impact factor: 6.937

Review 8.  Profile hidden Markov models.

Authors:  S R Eddy
Journal:  Bioinformatics       Date:  1998       Impact factor: 6.937

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Authors:  L Holm; C Sander
Journal:  Science       Date:  1996-08-02       Impact factor: 47.728

Review 10.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Authors:  S F Altschul; T L Madden; A A Schäffer; J Zhang; Z Zhang; W Miller; D J Lipman
Journal:  Nucleic Acids Res       Date:  1997-09-01       Impact factor: 16.971

  10 in total
  2 in total

1.  PSI-BLAST-ISS: an intermediate sequence search tool for estimation of the position-specific alignment reliability.

Authors:  Mindaugas Margelevicius; Ceslovas Venclovas
Journal:  BMC Bioinformatics       Date:  2005-07-21       Impact factor: 3.169

2.  Homology modeling using parametric alignment ensemble generation with consensus and energy-based model selection.

Authors:  Dylan Chivian; David Baker
Journal:  Nucleic Acids Res       Date:  2006-09-13       Impact factor: 16.971

  2 in total

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