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pLoc_Deep-mAnimal: A Novel Deep CNN-BLSTM Network to Predict Subcellular Localization of Animal Proteins

Authors :
Kuo-Chen Chou
Yu-Tao Shao
Source :
Natural Science. 12:281-291
Publication Year :
2020
Publisher :
Scientific Research Publishing, Inc., 2020.

Abstract

Current coronavirus pandemic has endangered mankind life. The reported cases are increasing exponentially. Information of animal protein subcellular localization can provide useful clues to develop antiviral drugs. To cope with such a catastrophe, a CNN based animal protein subcellular localization predictor called “pLoc_Deep-mAnimal” was developed. The predictor is particularly useful in dealing with the multi-sites systems in which some proteins may simultaneously occur in two or more different organelles that are the current focus of pharmaceutical industry. The global absolute true rate achieved by the new predictor is over 92% and its local accuracy is over 95%. Both have substantially exceeded the other existing state-of-the-art predictors. To maximize the convenience for most experimental scientists, a user-friendly web-server for the new predictor has been established at http://www.jci-bioinfo.cn/pLoc_Deep-mAnimal/, which will become a very useful tool for fighting pandemic coronavirus and save the mankind of this planet.

Details

ISSN :
21504105 and 21504091
Volume :
12
Database :
OpenAIRE
Journal :
Natural Science
Accession number :
edsair.doi...........ba2b2a740f262ebbe83c49481ce65247
Full Text :
https://doi.org/10.4236/ns.2020.125024