DeepPhos: prediction of protein phosphorylation sites with deep learning
نویسندگان
چکیده
منابع مشابه
Prediction of Protein Kinase Specific Phosphorylation Sites with Multiple SVMs
The protein phosphorylation is one of the important processes in the cell signaling pathway. A variety of protein kinase families are involved in this process, and each kinase family phosphorylates different kinds of substrate proteins. Many methods to predict the kinase-specific phosphoryrated sites or different types of phosphorylated residues (Serine/Threonine or Tyrosin) have been developed...
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Deep learning has emerged as a new area of machine learning research. It has been successfully applied to several fields such as images, sounds, text and motion. In this project, deep learning was applied to protein interaction prediction and compared with support vector machines. Deep learning was shown to have a good performance as well as SVM with Fisher score features.
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UNLABELLED We here present a neural network-based method for the prediction of protein phosphorylation sites in yeast--an important model organism for basic research. Existing protein phosphorylation site predictors are primarily based on mammalian data and show reduced sensitivity on yeast phosphorylation sites compared to those in humans, suggesting the need for an yeast-specific phosphorylat...
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Protein structure prediction is an important and fundamental problem for which machine learning techniques have been widely used in bioinformatics and computational biology. Recently, deep learning has emerged as a new active area of research in machine learning, showing great success in diverse areas of signal and information processing studies. In this article, we provide a brief review on re...
متن کاملPrediction of phosphorylation sites using SVMs
MOTIVATION Phosphorylation is involved in diverse signal transduction pathways. By predicting phosphorylation sites and their kinases from primary protein sequences, we can obtain much valuable information that can form the basis for further research. Using support vector machines, we attempted to predict phosphorylation sites and the type of kinase that acts at each site. RESULTS Our predict...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2019
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bty1051