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

Short Communication

Ann Agric Crop Sci. 2019; 4(4): 1054.

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 Chou1,2*

¹Gordon Life Science Institute, USA

²Center for Informational Biology, University of Electronic Science and Technology of China, China

*Corresponding author: Kuo-Chen Chou, Gordon Life Science Institute, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 610054, China

Received: November 29, 2019; Accepted: December 10 2019; Published: December 17, 2019

Short Communication

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 [1], 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” [2].

The web-server is called as “pLoc_bal-mGneg”, where “bal” means that the predictor has been treated by balancing or quasibalancing out the training dataset [3-9], and “m” means that the predictor is with the capacity to study the multi-label systems. How the web-server is working can be clearly seen via the showcase below.

Clicking the link at http://www.jci-bioinfo.cn/pLoc_bal-mGneg/, you will see the top page of the pLoc_bal-mGneg web-server prompted on your computer’s screen Figure 1. Then, just simply following the commands given in the Step 2 and Step 3 of [4], you will see Figure 2 on the screen of your computer. The corresponding predicted reports were given [4]. As you can see from there: nearly all the success rates achieved by the web-server for the Gram-negative bacterial proteins in each of the 8 subcellular locations are within the range of 98-100%, which is far beyond the reach of any of its counterparts.

Citation:Chou K-C. 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. Ann Agric Crop Sci. 2019; 4(4): 1054.