The Proteome Folding Project: Proteome-scale prediction of structure and function
| Autor: | Patrick Winters, Viktors Berstis, Kevin Drew, Trisha N. Davis, Keith Uplinger, Richard Bonneau, David R. Goodlett, Bill Bovermann, Jonathan Armstrong, Michael Riffle, Lars Malmström, Dennis Shasha, Erik Schweighofer, Glenn L. Butterfoss |
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| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Resource
Quality Control Protein Folding Proteome Protein Conformation Protein domain Protozoan Proteins Computational biology Biology Genome Annotation Mice User-Computer Interface Protein structure Genetics Animals Drosophila Proteins Humans Genetics (clinical) Transglutaminases Nuclear Proteins Reproducibility of Results Molecular Sequence Annotation Protein Structure Tertiary ComputingMethodologies_PATTERNRECOGNITION Glucosyltransferases Protein folding Deinococcus Plasmodium vivax Function (biology) Chorismate Mutase |
| Popis: | The incompleteness of proteome structure and function annotation is a critical problem for biologists and, in particular, severely limits interpretation of high-throughput and next-generation experiments. We have developed a proteome annotation pipeline based on structure prediction, where function and structure annotations are generated using an integration of sequence comparison, fold recognition, and grid-computing-enabled de novo structure prediction. We predict protein domain boundaries and three-dimensional (3D) structures for protein domains from 94 genomes (including human, Arabidopsis, rice, mouse, fly, yeast, Escherichia coli, and worm). De novo structure predictions were distributed on a grid of more than 1.5 million CPUs worldwide (World Community Grid). We generated significant numbers of new confident fold annotations (9% of domains that are otherwise unannotated in these genomes). We demonstrate that predicted structures can be combined with annotations from the Gene Ontology database to predict new and more specific molecular functions. |
| Databáze: | OpenAIRE |
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