Literature DB >> 21997521

CASP9 assessment of free modeling target predictions.

Lisa Kinch1, Shuo Yong Shi, Qian Cong, Hua Cheng, Yuxing Liao, Nick V Grishin.   

Abstract

We present an overview of the ninth round of Critical Assessment of Protein Structure Prediction (CASP9) "Template free modeling" category (FM). Prediction models were evaluated using a combination of established structural and sequence comparison measures and a novel automated method designed to mimic manual inspection by capturing both global and local structural features. These scores were compared to those assigned manually over a diverse subset of target domains. Scores were combined to compare overall performance of participating groups and to estimate rank significance. Moreover, we discuss a few examples of free modeling targets to highlight the progress and bottlenecks of current prediction methods. Notably, a server prediction model for a single target (T0581) improved significantly over the closest structure template (44% GDT increase). This accomplishment represents the "winner" of the CASP9 FM category. A number of human expert groups submitted slight variations of this model, highlighting a trend for human experts to act as "meta predictors" by correctly selecting among models produced by the top-performing automated servers. The details of evaluation are available at http://prodata.swmed.edu/CASP9/ .
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21997521      PMCID: PMC3226891          DOI: 10.1002/prot.23181

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


  24 in total

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2.  Reliability of assessment of protein structure prediction methods.

Authors:  Marc A Marti-Renom; M S Madhusudhan; András Fiser; Burkhard Rost; Andrej Sali
Journal:  Structure       Date:  2002-03       Impact factor: 5.006

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Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

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Journal:  J Mol Biol       Date:  2004-07-16       Impact factor: 5.469

6.  Structure prediction for CASP7 targets using extensive all-atom refinement with Rosetta@home.

Authors:  Rhiju Das; Bin Qian; Srivatsan Raman; Robert Vernon; James Thompson; Philip Bradley; Sagar Khare; Michael D Tyka; Divya Bhat; Dylan Chivian; David E Kim; William H Sheffler; Lars Malmström; Andrew M Wollacott; Chu Wang; Ingemar Andre; David Baker
Journal:  Proteins       Date:  2007

7.  Template-based modeling and free modeling by I-TASSER in CASP7.

Authors:  Yang Zhang
Journal:  Proteins       Date:  2007

8.  Structure prediction for CASP8 with all-atom refinement using Rosetta.

Authors:  Srivatsan Raman; Robert Vernon; James Thompson; Michael Tyka; Ruslan Sadreyev; Jimin Pei; David Kim; Elizabeth Kellogg; Frank DiMaio; Oliver Lange; Lisa Kinch; Will Sheffler; Bong-Hyun Kim; Rhiju Das; Nick V Grishin; David Baker
Journal:  Proteins       Date:  2009

9.  Assessment of CASP8 structure predictions for template free targets.

Authors:  Moshe Ben-David; Orly Noivirt-Brik; Aviv Paz; Jaime Prilusky; Joel L Sussman; Yaakov Levy
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10.  CASP5 target classification.

Authors:  Lisa N Kinch; Yuan Qi; Tim J P Hubbard; Nick V Grishin
Journal:  Proteins       Date:  2003
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  51 in total

1.  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

2.  Integration of QUARK and I-TASSER for Ab Initio Protein Structure Prediction in CASP11.

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3.  Assessment of ligand binding site predictions in CASP10.

Authors:  Tiziano Gallo Cassarino; Lorenza Bordoli; Torsten Schwede
Journal:  Proteins       Date:  2014-02

4.  Template-based and free modeling of I-TASSER and QUARK pipelines using predicted contact maps in CASP12.

Authors:  Chengxin Zhang; S M Mortuza; Baoji He; Yanting Wang; Yang Zhang
Journal:  Proteins       Date:  2017-11-14

Review 5.  Protein modeling: what happened to the "protein structure gap"?

Authors:  Torsten Schwede
Journal:  Structure       Date:  2013-09-03       Impact factor: 5.006

6.  Using iterative fragment assembly and progressive sequence truncation to facilitate phasing and crystal structure determination of distantly related proteins.

Authors:  Yan Wang; Jouko Virtanen; Zhidong Xue; John J G Tesmer; Yang Zhang
Journal:  Acta Crystallogr D Struct Biol       Date:  2016-04-26       Impact factor: 7.652

7.  Accurately Predicting Disordered Regions of Proteins Using Rosetta ResidueDisorder Application.

Authors:  Stephanie S Kim; Justin T Seffernick; Steffen Lindert
Journal:  J Phys Chem B       Date:  2018-03-29       Impact factor: 2.991

8.  PI2PE: A Suite of Web Servers for Predictions Ranging From Protein Structure to Binding Kinetics.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  Biophys Rev       Date:  2012-07-25

9.  Modeling proteins using a super-secondary structure library and NMR chemical shift information.

Authors:  Vilas Menon; Brinda K Vallat; Joseph M Dybas; Andras Fiser
Journal:  Structure       Date:  2013-05-16       Impact factor: 5.006

10.  Assessment of CASP10 contact-assisted predictions.

Authors:  Todd J Taylor; Hongjun Bai; Chin-Hsien Tai; Byungkook Lee
Journal:  Proteins       Date:  2013-10-17
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