Literature DB >> 16187347

Assessment of CASP6 predictions for new and nearly new fold targets.

James J Vincent1, Chin-Hsien Tai, B K Sathyanarayana, Byungkook Lee.   

Abstract

This is a report of the assessment of the predictions made for the CASP6 protein structure prediction experiment conducted in 2004 in the New Fold (NF) category. There were nine protein domains that were judged to have new folds (NF) and 16 for which a similar structure was known but the sequence similarity was judged to be too low for them to be easily recognized (FR/A). We selected all NF targets and eight of the 16 FR/A targets judged to be at the borderline between NF and FR/A for evaluation in the NF category. A total of 165 prediction groups submitted over 7400 structural models for these targets. The quality of these models was evaluated using the GDT_TS scores of the structural similarity detection program LGA and by visual inspection of the top-scoring models. The best models submitted bore an overall similarity to the target structure for three or four of the nine NF targets and for all but one of the FR/A targets. High-scoring models for the NF targets were submitted by several different groups. When both the NF and FR/A targets were considered, Baker group dominated by submitting best models for seven of the 17 targets, but 14 other groups also managed to submit best models for one or more targets. 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 16187347     DOI: 10.1002/prot.20722

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


  16 in total

1.  Protein loop modeling by using fragment assembly and analytical loop closure.

Authors:  Julian Lee; Dongseon Lee; Hahnbeom Park; Evangelos A Coutsias; Chaok Seok
Journal:  Proteins       Date:  2010-09-24

Review 2.  Membrane protein prediction methods.

Authors:  Marco Punta; Lucy R Forrest; Henry Bigelow; Andrew Kernytsky; Jinfeng Liu; Burkhard Rost
Journal:  Methods       Date:  2007-04       Impact factor: 3.608

3.  A comprehensive assessment of sequence-based and template-based methods for protein contact prediction.

Authors:  Sitao Wu; Yang Zhang
Journal:  Bioinformatics       Date:  2008-02-22       Impact factor: 6.937

4.  In silico chaperonin-like cycle helps folding of proteins for structure prediction.

Authors:  Tadaomi Furuta; Yoshimi Fujitsuka; George Chikenji; Shoji Takada
Journal:  Biophys J       Date:  2008-01-04       Impact factor: 4.033

5.  Folding energy landscape and network dynamics of small globular proteins.

Authors:  Naoto Hori; George Chikenji; R Stephen Berry; Shoji Takada
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-29       Impact factor: 11.205

6.  Assessment of template-based modeling of protein structure in CASP11.

Authors:  Vivek Modi; Qifang Xu; Sam Adhikari; Roland L Dunbrack
Journal:  Proteins       Date:  2016-06-15

7.  Directionality in protein fold prediction.

Authors:  Jonathan J Ellis; Fabien P E Huard; Charlotte M Deane; Sheenal Srivastava; Graham R Wood
Journal:  BMC Bioinformatics       Date:  2010-04-07       Impact factor: 3.169

8.  Assessment of CASP10 contact-assisted predictions.

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

9.  Assessment of template-free modeling in CASP10 and ROLL.

Authors:  Chin-Hsien Tai; Hongjun Bai; Todd J Taylor; Byungkook Lee
Journal:  Proteins       Date:  2013-12-17

Review 10.  Folding by numbers: primary sequence statistics and their use in studying protein folding.

Authors:  Brent Wathen; Zongchao Jia
Journal:  Int J Mol Sci       Date:  2009-04-08       Impact factor: 6.208

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