An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12
Open Access
- 2 July 2018
- journal article
- research article
- Published by Springer Nature in Scientific Reports
- Vol. 8 (1) , 9939
Abstract
Every two years groups worldwide participate in the Critical Assessment of Protein Structure Prediction (CASP) experiment to blindly test the strengths and weaknesses of their computational methods. CASP has significantly advanced the field but many hurdles still remain, which may require new ideas and collaborations. In 2012 a web-based effort called WeFold, was initiated to promote collaboration within the CASP community and attract researchers from other fields to contribute new ideas to CASP. Members of the WeFold coopetition (cooperation and competition) participated in CASP as individual teams, but also shared components of their methods to create hybrid pipelines and actively contributed to this effort. We assert that the scale and diversity of integrative prediction pipelines could not have been achieved by any individual lab or even by any collaboration among a few partners. The models contributed by the participating groups and generated by the pipelines are publicly available at the WeFold website providing a wealth of data that remains to be tapped. Here, we analyze the results of the 2014 and 2016 pipelines showing improvements according to the CASP assessment as well as areas that require further adjustments and research.Keywords
This publication has 32 references indexed in Scilit:
- Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich eraProceedings of the National Academy of Sciences, 2013
- GalaxyRefine: protein structure refinement driven by side-chain repackingNucleic Acids Research, 2013
- Improved model quality assessment using ProQ2BMC Bioinformatics, 2012
- GuiTope: an application for mapping random-sequence peptides to protein sequencesBMC Bioinformatics, 2012
- GOAP: A Generalized Orientation-Dependent, All-Atom Statistical Potential for Protein Structure PredictionBiophysical Journal, 2011
- APOLLO: a quality assessment service for single and multiple protein modelsBioinformatics, 2011
- A multilayer evaluation approach for protein structure prediction and model quality assessmentProteins: Structure, Function, and Bioinformatics, 2011
- Consistent refinement of submitted models at CASP using a knowledge‐based potentialProteins: Structure, Function, and Bioinformatics, 2010
- A decade of CASP: progress, bottlenecks and prognosis in protein structure predictionCurrent Opinion in Structural Biology, 2005
- The Protein Data BankNucleic Acids Research, 2000