The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Subcellular location of a protein is one of the key functional characters as proteins must be localized correctly at the subcellular level to have normal biological function. In this work, a novel hybrid-classifier prediction method has been introduced, which uses evolutionary information and sequence-order information to improve prediction performance. Prediction results on different data sets show...
Subcellular location of a protein is one of the key functional characters as proteins must be localized correctly at the subcellular level to have normal biological functions. In this paper, all motifs in PROSITE were examined and those that are indicative to eukaryotic protein subcellular localizations were picked out. A corresponding motif module was built and combined to our former work: LOCSVMPSI...
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...
Gene expression profile is a kind of useful biological resource in recent years. The original data is usually in the form of large matrix with missing values in it. Missing value estimation method is in active demand as many downstream analysis methods suffered from the missing values. Several methods dealing with this problem have been reported (proposed) recently. We proposed a novel missing value...
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...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.