Literature DB >> 26370505

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

Wenxuan Zhang1,2, Jianyi Yang1,2, Baoji He1,2, Sara Elizabeth Walker1,2, Hongjiu Zhang1,2, Brandon Govindarajoo1,2, Jouko Virtanen1,2, Zhidong Xue1,2, Hong-Bin Shen1,2, Yang Zhang3,4.   

Abstract

We tested two pipelines developed for template-free protein structure prediction in the CASP11 experiment. First, the QUARK pipeline constructs structure models by reassembling fragments of continuously distributed lengths excised from unrelated proteins. Five free-modeling (FM) targets have the model successfully constructed by QUARK with a TM-score above 0.4, including the first model of T0837-D1, which has a TM-score = 0.736 and RMSD = 2.9 Å to the native. Detailed analysis showed that the success is partly attributed to the high-resolution contact map prediction derived from fragment-based distance-profiles, which are mainly located between regular secondary structure elements and loops/turns and help guide the orientation of secondary structure assembly. In the Zhang-Server pipeline, weakly scoring threading templates are re-ordered by the structural similarity to the ab initio folding models, which are then reassembled by I-TASSER based structure assembly simulations; 60% more domains with length up to 204 residues, compared to the QUARK pipeline, were successfully modeled by the I-TASSER pipeline with a TM-score above 0.4. The robustness of the I-TASSER pipeline can stem from the composite fragment-assembly simulations that combine structures from both ab initio folding and threading template refinements. Despite the promising cases, challenges still exist in long-range beta-strand folding, domain parsing, and the uncertainty of secondary structure prediction; the latter of which was found to affect nearly all aspects of FM structure predictions, from fragment identification, target classification, structure assembly, to final model selection. Significant efforts are needed to solve these problems before real progress on FM could be made. Proteins 2016; 84(Suppl 1):76-86.
© 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  CASP11; I-TASSER; QUARK; ab initio folding; protein structure prediction

Mesh:

Substances:

Year:  2015        PMID: 26370505      PMCID: PMC4792809          DOI: 10.1002/prot.24930

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


  34 in total

1.  Protein secondary structure prediction based on position-specific scoring matrices.

Authors:  D T Jones
Journal:  J Mol Biol       Date:  1999-09-17       Impact factor: 5.469

2.  Local energy landscape flattening: parallel hyperbolic Monte Carlo sampling of protein folding.

Authors:  Yang Zhang; Daisuke Kihara; Jeffrey Skolnick
Journal:  Proteins       Date:  2002-08-01

3.  TOUCHSTONE II: a new approach to ab initio protein structure prediction.

Authors:  Yang Zhang; Andrzej Kolinski; Jeffrey Skolnick
Journal:  Biophys J       Date:  2003-08       Impact factor: 4.033

4.  Development and testing of a general amber force field.

Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
Journal:  J Comput Chem       Date:  2004-07-15       Impact factor: 3.376

5.  SPICKER: a clustering approach to identify near-native protein folds.

Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  J Comput Chem       Date:  2004-04-30       Impact factor: 3.376

6.  Scoring function for automated assessment of protein structure template quality.

Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  Proteins       Date:  2004-12-01

7.  Toward high-resolution de novo structure prediction for small proteins.

Authors:  Philip Bradley; Kira M S Misura; David Baker
Journal:  Science       Date:  2005-09-16       Impact factor: 47.728

8.  Interplay of I-TASSER and QUARK for template-based and ab initio protein structure prediction in CASP10.

Authors:  Yang Zhang
Journal:  Proteins       Date:  2013-08-31

9.  I-TASSER server for protein 3D structure prediction.

Authors:  Yang Zhang
Journal:  BMC Bioinformatics       Date:  2008-01-23       Impact factor: 3.169

10.  LOMETS: a local meta-threading-server for protein structure prediction.

Authors:  Sitao Wu; Yang Zhang
Journal:  Nucleic Acids Res       Date:  2007-05-03       Impact factor: 16.971

View more
  23 in total

1.  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

2.  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

3.  OPUS-SSF: A side-chain-inclusive scoring function for ranking protein structural models.

Authors:  Gang Xu; Tianqi Ma; Qinghua Wang; Jianpeng Ma
Journal:  Protein Sci       Date:  2019-04-11       Impact factor: 6.725

4.  Structural and ligand binding analyses of the periplasmic sensor domain of RsbU in Chlamydia trachomatis support a role in TCA cycle regulation.

Authors:  Katelyn R Soules; Aidan Dmitriev; Scott D LaBrie; Zoë E Dimond; Benjamin H May; David K Johnson; Yang Zhang; Kevin P Battaile; Scott Lovell; P Scott Hefty
Journal:  Mol Microbiol       Date:  2019-11-07       Impact factor: 3.501

5.  Protein contact prediction by integrating deep multiple sequence alignments, coevolution and machine learning.

Authors:  Badri Adhikari; Jie Hou; Jianlin Cheng
Journal:  Proteins       Date:  2017-10-31

Review 6.  I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction.

Authors:  Xiaogen Zhou; Wei Zheng; Yang Li; Robin Pearce; Chengxin Zhang; Eric W Bell; Guijun Zhang; Yang Zhang
Journal:  Nat Protoc       Date:  2022-08-05       Impact factor: 17.021

Review 7.  Finding the needle in the haystack: towards solving the protein-folding problem computationally.

Authors:  Bian Li; Michaela Fooksa; Sten Heinze; Jens Meiler
Journal:  Crit Rev Biochem Mol Biol       Date:  2017-10-04       Impact factor: 8.250

8.  CASP11--An Evaluation of a Modular BCL::Fold-Based Protein Structure Prediction Pipeline.

Authors:  Axel W Fischer; Sten Heinze; Daniel K Putnam; Bian Li; James C Pino; Yan Xia; Carlos F Lopez; Jens Meiler
Journal:  PLoS One       Date:  2016-04-05       Impact factor: 3.240

9.  A physiologic rise in cytoplasmic calcium ion signal increases pannexin1 channel activity via a C-terminus phosphorylation by CaMKII.

Authors:  Ximena López; Nicolás Palacios-Prado; Juan Güiza; Rosalba Escamilla; Paola Fernández; José L Vega; Maximiliano Rojas; Valeria Marquez-Miranda; Eduardo Chamorro; Ana M Cárdenas; María Constanza Maldifassi; Agustín D Martínez; Yorley Duarte; Fernando D González-Nilo; Juan C Sáez
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-10       Impact factor: 11.205

10.  UniCon3D: de novo protein structure prediction using united-residue conformational search via stepwise, probabilistic sampling.

Authors:  Debswapna Bhattacharya; Renzhi Cao; Jianlin Cheng
Journal:  Bioinformatics       Date:  2016-06-03       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.