Literature DB >> 26677002

Evaluation of free modeling targets in CASP11 and ROLL.

Lisa N Kinch1, Wenlin Li2, Bohdan Monastyrskyy3, Andriy Kryshtafovych3, Nick V Grishin4,2.   

Abstract

We present an assessment of 'template-free modeling' (FM) in CASP11and ROLL. Community-wide server performance suggested the use of automated scores similar to previous CASPs would provide a good system of evaluating performance, even in the absence of comprehensive manual assessment. The CASP11 FM category included several outstanding examples, including successful prediction by the Baker group of a 256-residue target (T0806-D1) that lacked sequence similarity to any existing template. The top server model prediction by Zhang's Quark, which was apparently selected and refined by several manual groups, encompassed the entire fold of target T0837-D1. Methods from the same two groups tended to dominate overall CASP11 FM and ROLL rankings. Comparison of top FM predictions with those from the previous CASP experiment revealed progress in the category, particularly reflected in high prediction accuracy for larger protein domains. FM prediction models for two cases were sufficient to provide functional insights that were otherwise not obtainable by traditional sequence analysis methods. Importantly, CASP11 abstracts revealed that alignment-based contact prediction methods brought about much of the CASP11 progress, producing both of the functionally relevant models as well as several of the other outstanding structure predictions. These methodological advances enabled de novo modeling of much larger domain structures than was previously possible and allowed prediction of functional sites. Proteins 2016; 84(Suppl 1):51-66.
© 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  CASP ROLL; CASP11; ab initio; alignment quality; domain structure; free modeling; protein fold prediction; protein structure; structure comparison

Mesh:

Substances:

Year:  2016        PMID: 26677002      PMCID: PMC5576440          DOI: 10.1002/prot.24973

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


  24 in total

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2.  CASP5 assessment of fold recognition target predictions.

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Journal:  Proteins       Date:  2011-10-15

4.  Definition and classification of evaluation units for CASP10.

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Journal:  Proteins       Date:  2013-11-22

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Authors:  Andriy Kryshtafovych; Bohdan Monastyrskyy; Krzysztof Fidelis
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Authors:  Kevin Karplus
Journal:  Nucleic Acids Res       Date:  2009-05-29       Impact factor: 16.971

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10.  lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests.

Authors:  Valerio Mariani; Marco Biasini; Alessandro Barbato; Torsten Schwede
Journal:  Bioinformatics       Date:  2013-08-27       Impact factor: 6.937

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  32 in total

1.  Critical assessment of methods of protein structure prediction (CASP)-Round XII.

Authors:  John Moult; Krzysztof Fidelis; Andriy Kryshtafovych; Torsten Schwede; Anna Tramontano
Journal:  Proteins       Date:  2017-12-15

2.  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

3.  Deep-learning contact-map guided protein structure prediction in CASP13.

Authors:  Wei Zheng; Yang Li; Chengxin Zhang; Robin Pearce; S M Mortuza; Yang Zhang
Journal:  Proteins       Date:  2019-08-14

4.  Annotation of Alternatively Spliced Proteins and Transcripts with Protein-Folding Algorithms and Isoform-Level Functional Networks.

Authors:  Hongdong Li; Yang Zhang; Yuanfang Guan; Rajasree Menon; Gilbert S Omenn
Journal:  Methods Mol Biol       Date:  2017

5.  ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks.

Authors:  Yang Li; Jun Hu; Chengxin Zhang; Dong-Jun Yu; Yang Zhang
Journal:  Bioinformatics       Date:  2019-11-01       Impact factor: 6.937

6.  Performance of protein-structure predictions with the physics-based UNRES force field in CASP11.

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Journal:  Bioinformatics       Date:  2016-07-04       Impact factor: 6.937

7.  Why Is There a Glass Ceiling for Threading Based Protein Structure Prediction Methods?

Authors:  Jeffrey Skolnick; Hongyi Zhou
Journal:  J Phys Chem B       Date:  2016-10-26       Impact factor: 2.991

8.  Protein structure model refinement in CASP12 using short and long molecular dynamics simulations in implicit solvent.

Authors:  Genki Terashi; Daisuke Kihara
Journal:  Proteins       Date:  2017-09-01

9.  Ensembling multiple raw coevolutionary features with deep residual neural networks for contact-map prediction in CASP13.

Authors:  Yang Li; Chengxin Zhang; Eric W Bell; Dong-Jun Yu; Yang Zhang
Journal:  Proteins       Date:  2019-08-22

10.  Human and server docking prediction for CAPRI round 30-35 using LZerD with combined scoring functions.

Authors:  Lenna X Peterson; Hyungrae Kim; Juan Esquivel-Rodriguez; Amitava Roy; Xusi Han; Woong-Hee Shin; Jian Zhang; Genki Terashi; Matt Lee; Daisuke Kihara
Journal:  Proteins       Date:  2016-10-14
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