Literature DB >> 27787823

Assessing Predicted Contacts for Building Protein Three-Dimensional Models.

Badri Adhikari1, Debswapna Bhattacharya1, Renzhi Cao1, Jianlin Cheng2.   

Abstract

Recent successes of contact-guided protein structure prediction methods have revived interest in solving the long-standing problem of ab initio protein structure prediction. With homology modeling failing for many protein sequences that do not have templates, contact-guided structure prediction has shown promise, and consequently, contact prediction has gained a lot of interest recently. Although a few dozen contact prediction tools are already currently available as web servers and downloadables, not enough research has been done towards using existing measures like precision and recall to evaluate these contacts with the goal of building three-dimensional models. Moreover, when we do not have a native structure for a set of predicted contacts, the only analysis we can perform is a simple contact map visualization of the predicted contacts. A wider and more rigorous assessment of the predicted contacts is needed, in order to build tertiary structure models. This chapter discusses instructions and protocols for using tools and applying techniques in order to assess predicted contacts for building three-dimensional models.

Entities:  

Keywords:  Contact-guided ab initio prediction; Protein contact assessment

Mesh:

Substances:

Year:  2017        PMID: 27787823      PMCID: PMC5512107          DOI: 10.1007/978-1-4939-6406-2_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  31 in total

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Authors:  L J McGuffin; K Bryson; D T Jones
Journal:  Bioinformatics       Date:  2000-04       Impact factor: 6.937

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Authors:  M M Gromiha; S Selvaraj
Journal:  Biophys Chem       Date:  1999-03-08       Impact factor: 2.352

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Authors:  Axel T Brunger
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

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.  CMView: interactive contact map visualization and analysis.

Authors:  Corinna Vehlow; Henning Stehr; Matthias Winkelmann; José M Duarte; Lars Petzold; Juliane Dinse; Michael Lappe
Journal:  Bioinformatics       Date:  2011-04-05       Impact factor: 6.937

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

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

7.  RBO Aleph: leveraging novel information sources for protein structure prediction.

Authors:  Mahmoud Mabrouk; Ines Putz; Tim Werner; Michael Schneider; Moritz Neeb; Philipp Bartels; Oliver Brock
Journal:  Nucleic Acids Res       Date:  2015-04-20       Impact factor: 16.971

8.  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

9.  CCMpred--fast and precise prediction of protein residue-residue contacts from correlated mutations.

Authors:  Stefan Seemayer; Markus Gruber; Johannes Söding
Journal:  Bioinformatics       Date:  2014-07-26       Impact factor: 6.937

10.  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

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