Literature DB >> 16187363

The prediction of protein function at CASP6.

Simonetta Soro1, Anna Tramontano.   

Abstract

In the CASP6 experiment, the new "Function Prediction" category was tentatively introduced. Predictors were asked to provide functional information on the CASP targets, many of which were of unknown function. This article describes the setup of the experiment and its results, highlighting what was learned from it, and suggesting modifications to its format for the next rounds. The obvious limitation of such an experiment is that the results cannot be assessed in the standard CASP fashion, as all targets remain of unknown function. Furthermore, we had to face the expected difficulties due to the novelty of the experiment and to the problems connected with function definition. Nevertheless, and even with a limited number of participating groups, we believe that the results of the experiment can be useful both for its future and for experimentalists working on the functional assignment of the CASP6 targets. We found that, in a few cases, a consensus functional prediction could be derived for targets of unknown function. However, our analysis suggests that a general description of the method used should be made available together with the predictions so that a higher reliability can be assigned to cases where completely independent methods give the same or similar predictions. 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 16187363     DOI: 10.1002/prot.20738

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


  14 in total

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2.  Assessment of ligand binding site predictions in CASP10.

Authors:  Tiziano Gallo Cassarino; Lorenza Bordoli; Torsten Schwede
Journal:  Proteins       Date:  2014-02

3.  Assessment of ligand-binding residue predictions in CASP9.

Authors:  Tobias Schmidt; Jürgen Haas; Tiziano Gallo Cassarino; Torsten Schwede
Journal:  Proteins       Date:  2011-10-11

4.  Assessment of ligand binding residue predictions in CASP8.

Authors:  Gonzalo López; Iakes Ezkurdia; Michael L Tress
Journal:  Proteins       Date:  2009

5.  Biological function derived from predicted structures in CASP11.

Authors:  Peter J Huwe; Qifang Xu; Maxim V Shapovalov; Vivek Modi; Mark D Andrake; Roland L Dunbrack
Journal:  Proteins       Date:  2016-06-15

6.  FunFOLD: an improved automated method for the prediction of ligand binding residues using 3D models of proteins.

Authors:  Daniel B Roche; Stuart J Tetchner; Liam J McGuffin
Journal:  BMC Bioinformatics       Date:  2011-05-16       Impact factor: 3.307

7.  FunFOLDQA: a quality assessment tool for protein-ligand binding site residue predictions.

Authors:  Daniel B Roche; Maria T Buenavista; Liam J McGuffin
Journal:  PLoS One       Date:  2012-05-30       Impact factor: 3.240

Review 8.  Protein function annotation by homology-based inference.

Authors:  Yaniv Loewenstein; Domenico Raimondo; Oliver C Redfern; James Watson; Dmitrij Frishman; Michal Linial; Christine Orengo; Janet Thornton; Anna Tramontano
Journal:  Genome Biol       Date:  2009-02-02       Impact factor: 13.583

9.  Critical assessment of methods of protein structure prediction-Round VII.

Authors:  John Moult; Krzysztof Fidelis; Andriy Kryshtafovych; Burkhard Rost; Tim Hubbard; Anna Tramontano
Journal:  Proteins       Date:  2007

10.  In-depth performance evaluation of PFP and ESG sequence-based function prediction methods in CAFA 2011 experiment.

Authors:  Meghana Chitale; Ishita K Khan; Daisuke Kihara
Journal:  BMC Bioinformatics       Date:  2013-02-28       Impact factor: 3.169

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