Literature DB >> 16187355

SAM-T04: what is new in protein-structure prediction for CASP6.

Kevin Karplus1, Sol Katzman, George Shackleford, Martina Koeva, Jenny Draper, Bret Barnes, Marcia Soriano, Richard Hughey.   

Abstract

The SAM-T04 method for predicting protein structures uses a single protocol across the entire range of targets, from comparative modeling to new folds. This protocol is similar to the SAM-T02 protocol used in CASP5, but has improvements in the iterative search for similar sequences in finding and aligning templates, in creating fragment libraries, in generating protein conformations, and in scoring the conformations. The automatic procedure made some improvements over simply selecting an alignment to the highest-scoring template, and human intervention made substantial improvements over the automatic procedure. The main improvements made by human intervention were from adding constraints to build (or retain) beta-sheets and from splitting multidomain proteins into separate domains. The uniform protocol was moderately successful across the entire range of target difficulty, but was somewhat less successful than other approaches in CASP6 on the comparative modeling targets. 2005 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2005        PMID: 16187355     DOI: 10.1002/prot.20730

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  32 in total

1.  The rbmBCDEF gene cluster modulates development of rugose colony morphology and biofilm formation in Vibrio cholerae.

Authors:  Jiunn C N Fong; Fitnat H Yildiz
Journal:  J Bacteriol       Date:  2007-01-12       Impact factor: 3.490

2.  Modeling of Escherichia coli Endonuclease V structure in complex with DNA.

Authors:  Karolina A Majorek; Janusz M Bujnicki
Journal:  J Mol Model       Date:  2008-11-29       Impact factor: 1.810

3.  A comprehensive analysis of the La-motif protein superfamily.

Authors:  Cécile Bousquet-Antonelli; Jean-Marc Deragon
Journal:  RNA       Date:  2009-03-19       Impact factor: 4.942

4.  Model quality assessment using distance constraints from alignments.

Authors:  Martin Paluszewski; Kevin Karplus
Journal:  Proteins       Date:  2009-05-15

5.  PREDICT-2ND: a tool for generalized protein local structure prediction.

Authors:  Sol Katzman; Christian Barrett; Grant Thiltgen; Rachel Karchin; Kevin Karplus
Journal:  Bioinformatics       Date:  2008-08-30       Impact factor: 6.937

6.  BCL::contact-low confidence fold recognition hits boost protein contact prediction and de novo structure determination.

Authors:  Mert Karakaş; Nils Woetzel; Jens Meiler
Journal:  J Comput Biol       Date:  2010-02       Impact factor: 1.479

7.  Identification of a chemoreceptor zinc-binding domain common to cytoplasmic bacterial chemoreceptors.

Authors:  Jenny Draper; Kevin Karplus; Karen M Ottemann
Journal:  J Bacteriol       Date:  2011-07-01       Impact factor: 3.490

8.  Analysis of a set of missense, frameshift, and in-frame deletion variants of BRCA1.

Authors:  Marcelo Carvalho; Maria A Pino; Rachel Karchin; Jennifer Beddor; Martha Godinho-Netto; Rafael D Mesquita; Renato S Rodarte; Danielle C Vaz; Viviane A Monteiro; Siranoush Manoukian; Mara Colombo; Carla B Ripamonti; Richard Rosenquist; Graeme Suthers; Ake Borg; Paolo Radice; Scott A Grist; Alvaro N A Monteiro; Blase Billack
Journal:  Mutat Res       Date:  2008-10-17       Impact factor: 2.433

9.  SAM-T08, HMM-based protein structure prediction.

Authors:  Kevin Karplus
Journal:  Nucleic Acids Res       Date:  2009-05-29       Impact factor: 16.971

10.  PSPP: a protein structure prediction pipeline for computing clusters.

Authors:  Michael S Lee; Rajkumar Bondugula; Valmik Desai; Nela Zavaljevski; In-Chul Yeh; Anders Wallqvist; Jaques Reifman
Journal:  PLoS One       Date:  2009-07-16       Impact factor: 3.240

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