کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
506019 864554 2006 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Probabilistic prediction of protein–protein interactions from the protein sequences
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Probabilistic prediction of protein–protein interactions from the protein sequences
چکیده انگلیسی

Prediction of protein–protein interactions is very important for several bioinformatics tasks though it is not a straightforward problem. In this paper, employing only protein sequence information, a framework is presented to predict protein–protein interactions using a probabilistic-based tree augmented naı¨ve (TAN) Bayesian network. Our framework also provides a confidence level for every predicted interaction, which is useful for further analysis by the biologists. The framework is applied to the yeast interaction datasets for predicting interactions and it is shown that our framework gives better performance than support vector machine (SVM). The framework is implemented as a webserver and is available for prediction.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 36, Issue 10, October 2006, Pages 1143–1154
نویسندگان
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