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Protein phosphorylation, one of the most important types of post-translational modifications (PTMs), participates in multiple cellular processes. Accurate prediction on phosphorylaiton sites has become necessary, as many modifications are related to diseases and used as biomarkers. Currently a number of computational approaches only establish prediction models on sequence information. In this study,...
Phosphorylation is a crucial post translational modification, which regulates almost all cellular process in life. It has long been recognized that protein phosphorylation has close relationship with diseases, and therefore many researches are undertaken to predict phosphorylation sites for disease treatment and drug design. However, despite the success achieved by these approaches, no method focuses...
As one of the most common post-translational modifications (PTMs), protein phosphorylation plays an important role in various biological processes, such as signaling transduction, cellular metabolism, differentiation, growth, regulation and apoptosis. Protein phosphorylation is of great value not only in illustrating the underlying molecular mechanisms but also in treatment of diseases and design...
Reversible protein phosphorylation is one of the most important post-translational modifications, which regulates various biological cellular processes. Identification of the kinase-specific phosphorylation sites is helpful for understanding the phosphorylation mechanism and regulation processes. Although a number of computational approaches have been developed, currently few studies are concerned...
Phosphorylation controls the dynamic behavior and decision processes of eukaryotic cells. So far, thousands of phosphorylation sites have been discovered by proteome-wide mapping and other biochemical studies. In this study, we constructed a human phosphorylation network by using an integrated dataset of experimentally and computationally identified protein kinase-substrate information based on Phospho...
Reversible phosphorylation is an important procedure to control the activity of proteins in biological cellular regulatory processes. Experimental identification of kinase-specific phosphorylation sites in substrates is very costly in both time and labor. It is desirable to develop machine learning methods which are rapid and effective for prediction. In this paper, we adopted Random forest (RF) algorithm...
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