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

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

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Author(s)

Author(s): Kuo-Chen Chou

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DOI: 10.18483/ijSci.2248 17 220 27-34 Volume 9 - Jan 2020

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.

Keywords

pLoc_bal-mGneg, Web-Server

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This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Author(s) retain the copyrights of this article, though, publication rights are with Alkhaer Publications.

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Issue May 2020

Volume 9, May 2020


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