Evaluation of protein structure prediction models by computers
نویسندگان
چکیده
منابع مشابه
Accurate Prediction of Protein Secondary Structure By Non-Parametric Models
Proteins are one of the most important parts of an organism because of their vital tasks. Consequently, it is necessary to know both the primary and secondary structure of a protein as closely related to its biological function. Artificial Neural Networks (ANNs) are a useful methodology for secondary structure prediction of proteins. In this study, a generalized regression neural network (GRNN)...
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EVA (http://cubic.bioc.columbia.edu/eva/) is a web server for evaluation of the accuracy of automated protein structure prediction methods. The evaluation is updated automatically each week, to cope with the large number of existing prediction servers and the constant changes in the prediction methods. EVA currently assesses servers for secondary structure prediction, contact prediction, compar...
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It is widely believed that the protein structures play key roles in determining the functions, activity, stability and subcellular localization of the proteins, and the mechanisms of protein-protein interactions in cells. However, it is extremely labor-expensive and sometimes even impossible to experimentally determine the structures for hundreds of thousands of protein sequences. In this thesi...
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ژورنال
عنوان ژورنال: Seibutsu Butsuri
سال: 2003
ISSN: 0582-4052,1347-4219
DOI: 10.2142/biophys.43.s90_1