The pLoc_bal-mGneg Predictor is a Powerful Web-Server for Identifying the Subcellular Localization of Gram-Negative Bacterial Proteins based on their Sequences Information Alone
Kuo‐Chen Chou
Abstract
Recently a very powerful web-server has been developed for predicting the subcellular localization of Gram-negative bacterial proteins purely according to their sequences information for the multi-label systems, in which a same protein may appear or move between two or more location sites and hence its ID (identification) needs two or more labels for distinction, namely the “multi-label mark”. The web-server is called as “pLoc_bal-mGneg”, where “bal” means that the predictor has been treated by balancing or quasi-balancing out the training dataset [3-9], and “m” means that the predictor is with the capacity to study the multi-label systems.
Topics & Concepts
Web serverIdentification (biology)Subcellular localizationComputer scienceWeb applicationComputational biologyGramBiologyWorld Wide WebThe InternetBacteriaBiochemistryGeneticsGeneBotanyMachine Learning in BioinformaticsBiochemical and Structural CharacterizationRNA and protein synthesis mechanisms