(Q36913033)

17 August 2017

1 reference

title

Methodology development for predicting subcellular localization and other attributes of proteins (English)

1 reference

17 August 2017

1

Hong-Bin Shen

1 reference

17 August 2017

3

Kuo-Chen Chou

1 reference

17 August 2017

Jie Yang

2

1 reference

17 August 2017

1 August 2007

1 reference

Expert Review of Proteomics

17 August 2017

1 reference

17 August 2017

4

1 reference

17 August 2017

4

1 reference

17 August 2017

453-463

1 reference

Structural bioinformatics and its impact to biomedical science

17 August 2017

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Searching for hypothetical proteins: theory and practice based upon original data and literature.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

A knowledge base for predicting protein localization sites in eukaryotic cells

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Discrimination of intracellular and extracellular proteins using amino acid composition and residue-pair frequencies.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Relation between amino acid composition and cellular location of proteins.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

PSORT: a program for detecting sorting signals in proteins and predicting their subcellular localization

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Protein subcellular location prediction

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of the subcellular location of prokaryotic proteins based on a new representation of the amino acid composition.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein subcellular location using a combined feature of sequence.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Support vector machine-based method for subcellular localization of human proteins using amino acid compositions, their order, and similarity search

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Automated subcellular location determination and high-throughput microscopy

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

GNBSL: a new integrative system to predict the subcellular location for Gram-negative bacteria proteins.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Support vector machine approach for protein subcellular localization prediction

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein subcellular locations using fuzzy k-NN method

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of mitochondrial proteins using support vector machine and hidden Markov model.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

PLPD: reliable protein localization prediction from imbalanced and overlapped datasets.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

A novel representation of protein sequences for prediction of subcellular location using support vector machines

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Application of pseudo amino acid composition for predicting protein subcellular location: stochastic signal processing approach.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using complexity measure factor to predict protein subcellular location.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using cellular automata images and pseudo amino acid composition to predict protein subcellular location.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein subcellular location using hydrophobic patterns of amino acid sequence.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

A novel method for apoptosis protein subcellular localization prediction combining encoding based on grouped weight and support vector machine

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Subcellular location prediction of apoptosis proteins

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

An SVM-based system for predicting protein subnuclear localizations

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Support Vector Machines for Predicting Membrane Protein Types by Using Functional Domain Composition

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of membrane protein types by incorporating amphipathic effects

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Low-frequency Fourier spectrum for predicting membrane protein types

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using ensemble classifier to identify membrane protein types

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Weighted-support vector machines for predicting membrane protein types based on pseudo-amino acid composition.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

SLLE for predicting membrane protein types.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using amino acid and peptide composition to predict membrane protein types.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting enzyme family class in a hybridization space.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Bioinformatical analysis of G-protein-coupled receptors.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of G-protein-coupled receptor classes.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Classification of G-protein coupled receptors at four levels.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Delaunay triangulation with partial least squares projection to latent structures: a model for G-protein coupled receptors classification and fast structure recognition.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protease types in a hybridization space

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting protease types by hybridizing gene ontology and pseudo amino acid composition

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting protein structural class with pseudo-amino acid composition and support vector machine fusion network

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using pseudo-amino acid composition and support vector machine to predict protein structural class.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using pseudo amino acid composition to predict protein structural class: approached by incorporating 400 dipeptide components.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting protein structural class with AdaBoost Learner.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using supervised fuzzy clustering to predict protein structural classes

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein structural classes using support vector machines.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using pseudo amino acid composition to predict protein structural classes: approached with complexity measure factor.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

An intriguing controversy over protein structural class prediction

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Some insights into protein structural class prediction

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of Protein Structural Classes

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Improved prediction of signal peptides: SignalP 3.0

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

BaCelLo: a balanced subcellular localization predictor

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein cellular attributes using pseudo-amino acid composition

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Ensemble classifier for protein fold pattern recognition.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein homo-oligomer types by pseudo amino acid composition: Approached with an improved feature extraction and Naive Bayes Feature Fusion.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Pseudo amino acid composition and multi-class support vector machines approach for conotoxin superfamily classification

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting conotoxin superfamily and family by using pseudo amino acid composition and modified Mahalanobis discriminant.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein subcellular localization by support vector machines using multi-scale energy and pseudo amino acid composition

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

The InterPro database, an integrated documentation resource for protein families, domains and functional sites

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Gene ontology: tool for the unification of biology

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein subcellular locations by GO-FunD-PseAA predictor

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Virus-PLoc: a fusion classifier for predicting the subcellular localization of viral proteins within host and virus-infected cells

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

GPCRsclass: a web tool for the classification of amine type of G-protein-coupled receptors

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Large-scale plant protein subcellular location prediction.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Hum-mPLoc: an ensemble classifier for large-scale human protein subcellular location prediction by incorporating samples with multiple sites.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using neural networks for prediction of subcellular location of prokaryotic and eukaryotic proteins.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting subcellular localization of proteins based on their N-terminal amino acid sequence

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using neural networks for prediction of domain structural classes.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Cross-validation of protein structural class prediction using statistical clustering and neural networks

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Neural networks for secondary structure and structural class predictions.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein secondary structure using improved two-level neural network architecture.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Artificial neural network model for predicting membrane protein types.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Improvements in protein secondary structure prediction by an enhanced neural network

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of beta-turns in proteins using neural networks.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein functional domains from sequences using artificial neural networks

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting protein secondary structure content. A tandem neural network approach.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Analysis of cleavage-site patterns in protein precursor sequences with a perceptron-type neural network.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Neural network prediction of the HIV-1 protease cleavage sites.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Characterizing proteolytic cleavage site activity using bio-basis function neural networks

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting the linkage sites in glycoproteins using bio-basis function neural network

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Artificial neural network model for predicting alpha-turn types.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Support vector machines for prediction of protein subcellular location by incorporating quasi-sequence-order effect.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Application of SVM to predict membrane protein types

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Prediction of protein structural classes by support vector machines.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Support vector machines for prediction of protein signal sequences and their cleavage sites

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting protein structural classes from amino acid composition: application of fuzzy clustering.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-Nearest Neighbor classifiers

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Progress in protein structural class prediction and its impact to bioinformatics and proteomics

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Predicting protein subcellular location by fusing multiple classifiers

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Euk-PLoc: an ensemble classifier for large-scale eukaryotic protein subcellular location prediction

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Gpos-PLoc: an ensemble classifier for predicting subcellular localization of Gram-positive bacterial proteins

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Large-scale predictions of gram-negative bacterial protein subcellular locations

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Euk-mPLoc: a fusion classifier for large-scale eukaryotic protein subcellular location prediction by incorporating multiple sites

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

MemType-2L: a web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Signal-CF: a subsite-coupled and window-fusing approach for predicting signal peptides.

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location

21 January 2018

1 reference

https://api.crossref.org/works/10.1586%2F14789450.4.4.453

21 January 2018

Identifiers

DOI

10.1586/14789450.4.4.453

1 reference

17 August 2017

1 reference

PubMed ID

17705704