Gneg-mPLoc: a top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins.

@article{Shen2010GnegmPLocAT,
  title={Gneg-mPLoc: a top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins.},
  author={Hong-Bin Shen and Kuo-Chen Chou},
  journal={Journal of theoretical biology},
  year={2010},
  volume={264 2},
  pages={326-33}
}
By incorporating the information of gene ontology, functional domain, and sequential evolution, a new predictor called Gneg-mPLoc was developed. It can be used to identify Gram-negative bacterial proteins among the following eight locations: (1) cytoplasm, (2) extracellular, (3) fimbrium, (4) flagellum, (5) inner membrane, (6) nucleoid, (7) outer membrane, and (8) periplasm. It can also be used to deal with the case when a query protein may simultaneously exist in more than one location… CONTINUE READING
Highly Influential
This paper has highly influenced 10 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 53 extracted citations

GNeg-CEF: Gram-negative bacterial protein prediction using ensemble approach for individual feature extraction strategies

2012 International Conference on Emerging Technologies • 2012
View 5 Excerpts
Highly Influenced

Protein Sorting Prediction.

Methods in molecular biology • 2017
View 4 Excerpts
Highly Influenced

Feature Extraction Approach Selection of Non-GO Termed Proteins for the Backup Method of Protein Subcellular Localization Prediction

2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2) • 2018
View 3 Excerpts

Similar Papers

Loading similar papers…