A large-scale evaluation of computational protein function prediction
نویسندگان
چکیده
منابع مشابه
A large-scale evaluation of computational protein function prediction
Automated annotation of protein function is challenging. As the number of sequenced genomes rapidly grows, the overwhelming majority of protein products can only be annotated computationally. If computational predictions are to be relied upon, it is crucial that the accuracy of these methods be high. Here we report the results from the first large-scale community-based Critical Assessment of pr...
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Protein function shift can be predicted from sequence comparisons, either using positive selection signals or evolutionary rate estimation. None of the methods have been validated on large datasets, however. Here we investigate existing and novel methods for protein function shift prediction, and benchmark the accuracy against a large dataset of proteins with known enzymatic functions. Function...
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A biological experiment is the most reliable way of assigning function to a protein. However, in the era of high-throughput sequencing, scientists are unable to carry out experiments to determine the function of every single gene product. Therefore, to gain insights into the activity of these molecules and guide experiments, we must rely on computational means to functionally annotate the major...
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To the editor—In 2009, the Journal of Biological Chemistry published nearly 37,000 pages containing the data and analyses of biological entities. Biochemistry contributed 12,000 pages, the Proceedings of the National Academy of Sciences 22,568 and the European Journal of Biochemistry 7,446... Imagine if all of the protein-function data in those pages, and more, had been efficiently deposited to...
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ژورنال
عنوان ژورنال: Nature Methods
سال: 2013
ISSN: 1548-7091,1548-7105
DOI: 10.1038/nmeth.2340