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Predicting multisite protein subcellular locations: progress and challenges
Expert Review of Proteomics, 2013In the last two decades, predicting protein subcellular locations has become a hot topic in bioinformatics. A number of algorithms and online services have been developed to computationally assign a subcellular location to a given protein sequence. With the progress of many proteome projects, more and more proteins are annotated with more than one ...
Pufeng, Du, Chao, Xu
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Multi-label Learning for Protein Subcellular Location Prediction
2011 IEEE International Conference on Bioinformatics and Biomedicine, 2011Protein sub cellular localization aims at predicting the location of a protein within a cell using computational methods. Knowledge of sub cellular localization of proteins indicates protein functions and helps in identifying drug targets. Prediction of protein sub cellular localization is an important but challenging problem, particularly when ...
Xiao Wang 0009 +3 more
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Recent progress in predicting protein sub-subcellular locations
Expert Review of Proteomics, 2011In the last two decades, the number of the known protein sequences increased very rapidly. However, a knowledge of protein function only exists for a small portion of these sequences. Since the experimental approaches for determining protein functions are costly and time consuming, in silico methods have been introduced to bridge the gap between ...
Pufeng, Du, Tingting, Li, Xin, Wang
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A complexity-based method for predicting protein subcellular location
Amino Acids, 2008A complexity-based approach is proposed to predict subcellular location of proteins. Instead of extracting features from protein sequences as done previously, our approach is based on a complexity decomposition of symbol sequences. In the first step, distance between each pair of protein sequences is evaluated by the conditional complexity of one ...
Xiaoqi, Zheng, Taigang, Liu, Jun, Wang
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Prediction of Protein Subcellular Locations with Feature Selection and Analysis
Protein & Peptide Letters, 2010In this paper, we propose a strategy to predict the subcellular locations of proteins by combining various feature selection methods. Firstly, proteins are coded by amino-acid composition and physicochemical properties, then these features are arranged by Minimum Redundancy Maximum Relevance method and further filtered by feature selection procedure ...
Yudong, Cai +7 more
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Large‐scale plant protein subcellular location prediction
Journal of Cellular Biochemistry, 2006AbstractCurrent plant genome sequencing projects have called for development of novel and powerful high throughput tools for timely annotating the subcellular location of uncharacterized plant proteins. In view of this, an ensemble classifier, Plant‐PLoc, formed by fusing many basic individual classifiers, has been developed for large‐scale subcellular
Kuo-Chen, Chou, Hong-Bin, Shen
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A Novel Ensemble Technique for Protein Subcellular Location Prediction
2011In this chapter we present an ensemble classifier that performs multi-class classification by combining several kernel classifiers through Decision Direct Acyclic Graph (DDAG). Each base classifier, called K-TIPCAC, is mainly based on the projection of the given points on the Fisher subspace, estimated on the training data, by means of a novel ...
A. Rozza +5 more
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Importance of the subcellular location of protein deposits in neurodegenerative diseases
Current Opinion in Neurobiology, 2018Alzheimer's disease, Parkinson's, Huntington's, amyotrophic lateral sclerosis (ALS) and prion disorders are devastating neurodegenerative diseases of increasing prevalence in aging populations. Although clinically different, they share similar molecular features: the accumulation of one or two proteins in abnormal conformations inside or outside ...
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FRACTAL APPLICATION FOR PREDICTING PROTEIN SUBCELLULAR LOCATION
Wavelet Analysis and Its Applications, 2003Kun He +3 more
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