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Phosphorylation is one of the most important post-translational modifications for eukaryotic proteins. Experimental identification of protein kinases' (PKs) substrates with their phosphorylation sites is time-consuming and often restricted by the availability of enzymatic reactions. Phosphorylation sites prediction with their specific kinase from machine learning approaches based on their primary...
A new method based on support vector regression (SVR) has been introduced to predict the relative solvent accessibility (RSA) of residues from protein primary sequences, which uses the local information of protein primary sequences as input. Different to most previous methods which are designed to predict the exposure state (exposed/buried, exposed/intermediate/buried, etc) of a particular residue...
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