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 avail.
See Full PDF See Full PDFProteins: Structure, Function, and Bioinformatics
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Proteins: Structure, Function, and Bioinformatics
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F1000 - Post-publication peer review of the biomedical literature
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Nucleic Acids Research
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Nucleic Acids Research
The IntFOLD server provides a unified resource for the automated prediction of: protein tertiary structures with built-in estimates of model accuracy (EMA), protein structural domain boundaries, natively unstructured or disordered regions in proteins, and protein–ligand interactions. The component methods have been independently evaluated via the successive blind CASP experiments and the continual CAMEO benchmarking project. The IntFOLD server has established its ranking as one of the best performing publicly available servers, based on independent official evaluation metrics. Here, we describe significant updates to the server back end, where we have focused on performance improvements in tertiary structure predictions, in terms of global 3D model quality and accuracy self-estimates (ASE), which we achieve using our newly improved ModFOLD7_rank algorithm. We also report on various upgrades to the front end including: a streamlined submission process, enhanced visualization of model.
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Folding and Design
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Proteins: Structure, Function, and Bioinformatics
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Proteins-structure Function and Bioinformatics
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Proteins-structure Function and Bioinformatics
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Bioinformatics/computer Applications in The Biosciences
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Proteins: Structure, Function, and Genetics
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arXiv (Cornell University)
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Nucleic Acids Research
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International Journal of Bio-Science and Bio-Technology
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Bioinformatics/computer Applications in The Biosciences
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Nucleic Acids Research
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