"Cell-PLoc 2.0: an improved package of web-servers for predicting subcellular localization of proteins in various organisms"
written by Kuo-Chen Chou, Hong-Bin Shen,
published by Natural Science, Vol.2 No.10, 2010
has been cited by the following article(s):
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[5] Use Chou's 5-steps rule to predict remote homology proteins by merging grey incidence analysis and domain similarity analysis
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[16] Genome-Wide Characterization and Expression Profiling of Plant-Specific PLATZ Transcription Factor Family Genes in Brassica rapa L.
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[18] The End of Our Earth Is Certainly to Come:“When”? and “Why”?
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[19] The Significant and Profound Impacts of Chou's Pseudo Amino Acid Composition or PseAAC
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[20] Chilling stress reduced protein translation by the ubiquitination of ribosomal proteins in Volvariella volvacea
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[21] Locate-R: Subcellular localization of long non-coding RNAs using nucleotide compositions
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[24] DMLDA-LocLIFT: Identification of multi-label protein subcellular localization using DMLDA dimensionality reduction and LIFT classifier
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[43] Genome-wide analysis of the WRKY gene family and its response to abiotic stress in buckwheat (Fagopyrum tataricum)
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[44] Advance in Predicting Subcellular Localization of Multi-label Proteins and its Implication for Developing Multi-target Drugs
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[45] MFSC: Multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components
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[46] An apple transcription factor, MdDREB76, confers salt and drought tolerance in transgenic tobacco by activating the expression of stress-responsive genes
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[48] pLoc_bal-mPlant: Predict Subcellular Localization of Plant Proteins by General PseAAC and Balancing Training Dataset
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[49] pNitro-Tyr-PseAAC: Predict Nitrotyrosine Sites in Proteins by Incorporating Five Features into Chou's General PseAAC
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[174] Stability of halophilic proteins: from dipeptide attributes to discrimination classifier
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[175] Multilabel learning via random label selection for protein subcellular multilocations prediction
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[180] A simple k-word interval method for phylogenetic analysis of DNA sequences
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[185] GOASVM: A subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-am
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[188] Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning
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[189] Multi-kernel transfer learning based on Chou's PseAAC formulation for protein submitochondria localization
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[190] mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines
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[191] Imbalanced Multi-Modal Multi-Label Learning for Subcellular Localization Prediction of Human Proteins with Both Single and Multiple Sites
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[192] Wavelet images and Chou's pseudo amino acid composition for protein classification
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[193] Prediction of protein subcellular multi-localization based on the general form of Chou's pseudo amino acid composition
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[208] Identifying bacterial virulent proteins by fusing a set of classifiers based on variants of Chou's pseudo amino acid composition
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[210] Proteomic and Bioinformatics Tools to Understand Virulence Mechanisms in Staphylococcus aureus
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[220] Generation of pharmacophore and atom based 3D-QSAR model of novel isoquinolin-1-one and quinazolin-4-one-type inhibitors of TNF
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[221] Bioinformatics Data Mining Using an Improved Boosting Method and Chou's pseudo amino acid composition.
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[223] Predicting metabolic pathways of small molecules and enzymes based on interaction information of chemicals and proteins
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[225] Analysis of metabolic pathway using hybrid properties
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[231] Computational Prediction of Protein Subcellular Locations in Eukaryotes: an Experience Report
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[234] Molecular docking and pharmacophore model studies of Rho kinase inhibitors
Molecular Simulation, 2011
[235] A Novel Method to Predict Protein-Protein Interactions Based on the Information of Protein-Protein Interaction Networks and Protein Sequence
Protein and peptide letters, 2011
[236] Algorithm of Insulin Human P01308–discrete code 2029
International Journal of Scientific and Engineering Research (IJSER) , 2011
[237] 贝塔-葡萄糖苷酶催化反应的最适pH 值和最适温度的同时预测
广西科学, 2011
[238] Algorithm of Insulin Human P01308–Amino acids Thr, Asn, and Pro
BIOMIRROR, 2011
[239] Molecular biocoding of insulin–amino acid Gly
International Journal of Scientific and Engineering Research (IJSER)-March, 2011
[240] gorithm of Insulin Human P01308-Position 102-Determinante 2029.
International Journal of Biochemistry Research & Review, 2011
[241] Algorithm of Insulin Human P01308-Position 102-Determinante 2029
International Journal of Biochemistry Research & Review, 2011
[242] A Multi-Label Classifier for Predicting the Subcellular Localization of Gram-Negative Bacterial Proteins with Both Single
PloS one, 2011
[243] In vitro transcriptomic prediction of hepatotoxicity for early drug discovery
Journal of Theoretical Biology, 2011
[244] CE-PLoc: an ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition
Computational Biology and Chemistry, 2011
[245] Image-derived Generative Models for Three-dimensional Cellular Organization
ProQuest Dissertations Publishing, 2011
[246] Improved sequence-based prediction of strand residues
Journal of bioinformatics and computational biology, 2011
[247] Algorithm and computational complexity of biochemistry
Journal of Chemical Engineering and Materials Science, 2011
[248] Predicting apoptosis protein subcellular location with PseAAC by incorporating tripeptide composition
Protein and peptide letters, 2011
[249] Prediction of body fluids where proteins are secreted into based on protein interaction network
PLoS One, 2011
[250] Predicting transcriptional activity of multiple site p53 mutants based on hybrid properties
PLoS One, 2011
[251] Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
Journal of Theoretical Biology, 2011
[252] Prediction of rat protein subcellular localization with pseudo amino acid composition based on multiple sequential features
Protein and peptide letters, 2011
[253] QSAR Study on MHC Class IA Alleles Based on the Novel Parameters of Amino Acids
Protein and peptide letters, 2011
[254] Predicting the activity of ACE inhibitory peptides with a novel mode of pseudo amino acid composition
Protein and peptide letters, 2011
[255] Searching of predictors to predict pH optimum of cellulases
Applied biochemistry and biotechnology, 2011
[256] In vitro transcriptomic prediction of hepatotoxicity for early drug discovery
Journal of theoretical biology, 2011
[257] 3D QSAR pharmacophore modeling, in silico screening, and density functional theory (DFT) approaches for identification of human
International journal of molecular sciences, 2011
[258] Recent advances in protein-protein interaction prediction: experimental and computational methods
Expert opinion on drug discovery, 2011
[259] Gaussian process: a promising approach for the modeling and prediction of peptide binding affinity to MHC proteins
Protein and peptide letters, 2011
[260] Improved prediction of protein ligand-binding sites using Random Forests
Protein and peptide letters, 2011
[261] Using the concept of pseudo amino acid composition to predict resistance gene against Xanthomonas oryzae pv. oryzae in rice: An approach from chaos games representation
Journal of theoretical biology, 2011
[262] Iatrogenic effects of Orthodontic treatment–Review on white spot lesions
Int J Sci Eng Res, 2011
[263] Computer-Based Comparison of Structural Features of Envelope Protein of Alkhurma Hemorrhagic Fever Virus with the Homologous Proteins of Two Closest Viruses
Protein and peptide letters, 2011
[264] Discrimination of Thermostable and Thermophilic Lipases using Support Vector Machines
Protein and peptide letters, 2011
[265] Theoretical study of GSK? 3α: neural networks QSAR studies for the design of new inhibitors using 2D descriptors
Molecular diversity, 2011
[266] Multi-label learning for protein subcellular location prediction
Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on. IEEE, 2011
[267] A Novel Fuzzy Fisher Classifier for Signal Peptide Prediction
Protein and peptide letters, 2011
[268] Compressed learning and its applications to subcellular localization
Protein and peptide letters, 2011
[269] Analyses of Protein Sequences Using Inter-Residue Average Distance Statistics to Study Folding Processes and the Significance of Their Partial Sequences
Protein and peptide letters, 2011
[270] Prediction of GPCRs with Pseudo Amino Acid Composition: Employing Composite Features and Grey Incidence Degree Based Classification
Protein and peptide letters, 2011
[271] Remote data retrieval for bioinformatics applications: An agent migration approach
PloS one, 2011
[272] SemiHS: An Iterative Semi-Supervised Approach for Predicting Proteinprotein Interaction Hot Spots
Protein and peptide letters, 2011
[273] Molecular biocoding of insulin-amino acid Ser
Journal Of Bioengineering & Biomedical Science, 2011
[274] Predicting Protein Subcellular Localization by Pseudo Amino Acid Composition with a Segment-Weighted and Features-Combined Approach
Protein and Peptide Letters, 2011
[275] Theoretical study of GSK−3α: neural networks QSAR studies for the design of new inhibitors using 2D descriptors
2011
[276] Identification of multiple subcellular locations for proteins in budding yeast
Current Bioinformatics, 2011
[277] An efficient support vector machine approach for identifying protein S-nitrosylation sites
Protein and peptide letters, 2011
[278] CE-PLoc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino
Computational biology and chemistry, 2011
[279] iLoc-Plant: a multi-label classifier for predicting the subcellular localization of plant proteins with both single and multiple
Molecular BioSystems, 2011
[280] Recent progress in predicting protein sub-subcellular locations
2011
[281] Identify submitochondria and subchloroplast locations with pseudo amino acid composition: approach from the strategy of discrete wavelet transform feature extraction
2011
[282] Using a novel AdaBoost algorithm and Chou's pseudo amino acid composition for predicting protein subcellular localization
Protein and peptide letters, 2011
[283] Using pseudo amino acid composition to predict protease families by incorporating a series of protein biological features
Protein and Peptide Letters, 2011
[284] AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties
Journal of Theoretical Biology, 2011
[285] A Multi-Label Classifier for Predicting the Subcellular Localization of Gram-Negative Bacterial Proteins with Both Single and Multiple Sites
PloS one, 2011
[286] iLoc-Virus: A multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites
Journal of Theoretical Biology, 2011
[287] GPCR-2L: Predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions
Molecular Biosystems, 2011
[288] iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins
PLoS One, 2011
[289] Some remarks on protein attribute prediction and pseudo amino acid composition
Journal of theoretical biology, 2011
[290] Molecular Biocoding of Insulin–Amino Acid Ser
2011
[291] Nonsense‐mediated decay targets have multiple sequence‐related features that can inhibit translation
2010