Literature DB >> 26474083

New encouraging developments in contact prediction: Assessment of the CASP11 results.

Bohdan Monastyrskyy1, Daniel D'Andrea2, Krzysztof Fidelis1, Anna Tramontano2,3, Andriy Kryshtafovych4.   

Abstract

This article provides a report on the state-of-the-art in the prediction of intra-molecular residue-residue contacts in proteins based on the assessment of the predictions submitted to the CASP11 experiment. The assessment emphasis is placed on the accuracy in predicting long-range contacts. Twenty-nine groups participated in contact prediction in CASP11. At least eight of them used the recently developed evolutionary coupling techniques, with the top group (CONSIP2) reaching precision of 27% on target proteins that could not be modeled by homology. This result indicates a breakthrough in the development of methods based on the correlated mutation approach. Successful prediction of contacts was shown to be practically helpful in modeling three-dimensional structures; in particular target T0806 was modeled exceedingly well with accuracy not yet seen for ab initio targets of this size (>250 residues). Proteins 2016; 84(Suppl 1):131-144.
© 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  CASP; co-variation; contact prediction; correlated mutations; evolutionary coupling

Mesh:

Substances:

Year:  2015        PMID: 26474083      PMCID: PMC4834069          DOI: 10.1002/prot.24943

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


  44 in total

1.  Assessment of novel fold targets in CASP4: predictions of three-dimensional structures, secondary structures, and interresidue contacts.

Authors:  A M Lesk; L Lo Conte; T J Hubbard
Journal:  Proteins       Date:  2001

2.  HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment.

Authors:  Michael Remmert; Andreas Biegert; Andreas Hauser; Johannes Söding
Journal:  Nat Methods       Date:  2011-12-25       Impact factor: 28.547

3.  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

4.  Assessment of domain boundary predictions and the prediction of intramolecular contacts in CASP8.

Authors:  Iakes Ezkurdia; Osvaldo Graña; José M G Izarzugaza; Michael L Tress
Journal:  Proteins       Date:  2009

5.  Definition and classification of evaluation units for CASP10.

Authors:  Todd J Taylor; Chin-Hsien Tai; Yuanpeng J Huang; Jeremy Block; Hongjun Bai; Andriy Kryshtafovych; Gaetano T Montelione; Byungkook Lee
Journal:  Proteins       Date:  2013-11-22

6.  Sequence co-evolution gives 3D contacts and structures of protein complexes.

Authors:  Thomas A Hopf; Charlotta P I Schärfe; João P G L M Rodrigues; Anna G Green; Oliver Kohlbacher; Chris Sander; Alexandre M J J Bonvin; Debora S Marks
Journal:  Elife       Date:  2014-09-25       Impact factor: 8.140

7.  MetaPSICOV: combining coevolution methods for accurate prediction of contacts and long range hydrogen bonding in proteins.

Authors:  David T Jones; Tanya Singh; Tomasz Kosciolek; Stuart Tetchner
Journal:  Bioinformatics       Date:  2014-11-26       Impact factor: 6.937

8.  Combining physicochemical and evolutionary information for protein contact prediction.

Authors:  Michael Schneider; Oliver Brock
Journal:  PLoS One       Date:  2014-10-22       Impact factor: 3.240

9.  Accurate contact predictions using covariation techniques and machine learning.

Authors:  Tomasz Kosciolek; David T Jones
Journal:  Proteins       Date:  2015-08-14

10.  SAM-T08, HMM-based protein structure prediction.

Authors:  Kevin Karplus
Journal:  Nucleic Acids Res       Date:  2009-05-29       Impact factor: 16.971

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  42 in total

1.  Synthetic protein alignments by CCMgen quantify noise in residue-residue contact prediction.

Authors:  Susann Vorberg; Stefan Seemayer; Johannes Söding
Journal:  PLoS Comput Biol       Date:  2018-11-05       Impact factor: 4.475

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.  Folding Membrane Proteins by Deep Transfer Learning.

Authors:  Sheng Wang; Zhen Li; Yizhou Yu; Jinbo Xu
Journal:  Cell Syst       Date:  2017-09-27       Impact factor: 10.304

4.  KScons: a Bayesian approach for protein residue contact prediction using the knob-socket model of protein tertiary structure.

Authors:  Qiwei Li; David B Dahl; Marina Vannucci; Hyun Joo; Jerry W Tsai
Journal:  Bioinformatics       Date:  2016-08-24       Impact factor: 6.937

5.  Neural networks for protein structure and function prediction and dynamic analysis.

Authors:  Yuko Tsuchiya; Kentaro Tomii
Journal:  Biophys Rev       Date:  2020-03-12

6.  Synthesis of CID-cleavable protein crosslinking agents containing quaternary amines for structural mass spectrometry.

Authors:  Susan E Hagen; Kun Liu; Yafei Jin; Lolita Piersimoni; Philip C Andrews; Hollis D Showalter
Journal:  Org Biomol Chem       Date:  2018-09-26       Impact factor: 3.876

7.  The BioFragment Database (BFDb): An open-data platform for computational chemistry analysis of noncovalent interactions.

Authors:  Lori A Burns; John C Faver; Zheng Zheng; Michael S Marshall; Daniel G A Smith; Kenno Vanommeslaeghe; Alexander D MacKerell; Kenneth M Merz; C David Sherrill
Journal:  J Chem Phys       Date:  2017-10-28       Impact factor: 3.488

8.  Protein structure prediction assisted with sparse NMR data in CASP13.

Authors:  Davide Sala; Yuanpeng Janet Huang; Casey A Cole; David A Snyder; Gaohua Liu; Yojiro Ishida; G V T Swapna; Kelly P Brock; Chris Sander; Krzysztof Fidelis; Andriy Kryshtafovych; Masayori Inouye; Roberto Tejero; Homayoun Valafar; Antonio Rosato; Gaetano T Montelione
Journal:  Proteins       Date:  2019-12

9.  Critical assessment of methods of protein structure prediction: Progress and new directions in round XI.

Authors:  John Moult; Krzysztof Fidelis; Andriy Kryshtafovych; Torsten Schwede; Anna Tramontano
Journal:  Proteins       Date:  2016-06-01

10.  CASP11 statistics and the prediction center evaluation system.

Authors:  Andriy Kryshtafovych; Bohdan Monastyrskyy; Krzysztof Fidelis
Journal:  Proteins       Date:  2016-03-09
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