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Protein subcellular localization prediction is important to functional annotation of protein. In this study, a hybrid system based on the sorting mechanism ...
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Protein subcellular localization prediction is important to functional annotation of protein. In this study, a hybrid system based on the sorting.
Experimental results on two public datasets showed that the hybrid system proposed is an effective way for the prediction of protein subcellular ...
This paper reviews recent subcellular localization prediction tools in the Eukaryotic, Prokaryotic, and Virus-based categories followed by a detailed analysis.
A new hybridization approach is developed for predicting protein subcellular location by combining the gene product, functional domain, and quasi-sequence- ...
Mar 6, 2019 · HybridGO-Loc: Mining Hybrid Features on Gene Ontology for Predicting Subcellular Localization of Multi-Location Proteins. PLoS ONE. 2014;9 ...
Sep 18, 2009 · SherLoc2 is a comprehensive high-accuracy subcellular localization prediction system. It is applicable to animal, fungal, and plant proteins and covers all ...
Here, an improved evolutionary conservation algorithm was proposed to calculate per residue conservation score. Then, each protein can be represented as a ...
Apr 26, 2019 · When tested on Dataset I and Dataset II, BLAST+SWNW showed an average accuracy of 97.18% and 99.60%, respectively, surpassing the performance of ...
The proposed hybrid system produced much more accurate results than the Horton and Nakai's method [P. Horton, K. Nakai, Better prediction of protein cellular ...