Literature DB >> 19774620

Critical assessment of methods of protein structure prediction - Round VIII.

John Moult1, Krzysztof Fidelis, Andriy Kryshtafovych, Burkhard Rost, Anna Tramontano.   

Abstract

This article is an introduction to the special issue of the journal Proteins, dedicated to the eighth CASP experiment to assess the state of the art in protein structure prediction. The article describes the conduct of the experiment, the categories of prediction included, and outlines the evaluation and assessment procedures. Highlights are the first blind assessment of model refinement methods showing that under some circumstances substantial model improvements are possible; improvements in the performance of methods for determining the accuracy of a model; and some progress in the accuracy of comparative models in regions not present in a principal template. Against these advances must be stacked the fact that there is no detectable progress in model quality compared with CASP7 in either template-based or template free modeling, using the established CASP measures. Copyright 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19774620     DOI: 10.1002/prot.22589

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


  73 in total

1.  Protein structure validation by generalized linear model root-mean-square deviation prediction.

Authors:  Anurag Bagaria; Victor Jaravine; Yuanpeng J Huang; Gaetano T Montelione; Peter Güntert
Journal:  Protein Sci       Date:  2012-01-04       Impact factor: 6.725

2.  An enumerative stepwise ansatz enables atomic-accuracy RNA loop modeling.

Authors:  Parin Sripakdeevong; Wipapat Kladwang; Rhiju Das
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-05       Impact factor: 11.205

3.  Smoothing protein energy landscapes by integrating folding models with structure prediction.

Authors:  Ari Pritchard-Bell; M Scott Shell
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

4.  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

5.  Templates are available to model nearly all complexes of structurally characterized proteins.

Authors:  Petras J Kundrotas; Zhengwei Zhu; Joël Janin; Ilya A Vakser
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

6.  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

7.  GPCRRD: G protein-coupled receptor spatial restraint database for 3D structure modeling and function annotation.

Authors:  Jian Zhang; Yang Zhang
Journal:  Bioinformatics       Date:  2010-10-05       Impact factor: 6.937

8.  Selective refinement and selection of near-native models in protein structure prediction.

Authors:  Jiong Zhang; Bogdan Barz; Jingfen Zhang; Dong Xu; Ioan Kosztin
Journal:  Proteins       Date:  2015-08-12

9.  Comparative protein structure modeling using Modeller.

Authors:  Ben Webb; Andrej Sali; Narayanan Eswar; Marc A Marti-Renom; M S Madhusudhan; David Eramian; Min-Yi Shen; Ursula Pieper
Journal:  Curr Protoc Bioinformatics       Date:  2006-10

10.  Fast geometric consensus approach for protein model quality assessment.

Authors:  Rafal Adamczak; Jaroslaw Pillardy; Brinda K Vallat; Jaroslaw Meller
Journal:  J Comput Biol       Date:  2011-01-18       Impact factor: 1.479

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