(Q51281674)

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EuLoc: a web-server for accurately predict protein subcellular localization in eukaryotes by incorporating various features of sequence segments into the general form of Chou's PseAAC.

scientific article published on 3 January 2013

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Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

EuLoc: a web-server for accurately predict protein subcellular localization in eukaryotes by incorporating various features of sequence segments into the general form of Chou's PseAAC. (English)

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

author name string

Tzu-Hao Chang

1

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

Li-Ching Wu

2

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

Tzong-Yi Lee

3

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

Shu-Pin Chen

4

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

Hsien-Da Huang

5

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

Jorng-Tzong Horng

6

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

publication date

3 January 2013

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

Journal of Computer - Aided Molecular Design

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

27

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

1

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

91-103

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

Recent progress in protein subcellular location prediction

1 reference

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Some remarks on protein attribute prediction and pseudo amino acid composition

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

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

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Protein subcellular location prediction

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Prediction of protein cellular attributes using pseudo-amino acid composition

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Subcellular location prediction of apoptosis proteins

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iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins

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iLoc-Gpos: a multi-layer classifier for predicting the subcellular localization of singleplex and multiplex Gram-positive bacterial proteins

1 reference

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iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites.

1 reference

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iLoc-Plant: a multi-label classifier for predicting the subcellular localization of plant proteins with both single and multiple sites.

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iLoc-Virus: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites

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Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning

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A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites

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SNOSite: exploiting maximal dependence decomposition to identify cysteine S-nitrosylation with substrate site specificity

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Using the concept of Chou's pseudo amino acid composition to predict enzyme family classes: an approach with support vector machine based on discrete wavelet transform

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Dual-layer wavelet SVM for predicting protein structural class via the general form of Chou's pseudo amino acid composition.

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Prediction of G-protein-coupled receptor classes in low homology using Chou's pseudo amino acid composition with approximate entropy and hydrophobicity patterns

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Prediction of protein subcellular multi-localization based on the general form of Chou's pseudo amino acid composition

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Identifying GPCRs and their types with Chou's pseudo amino acid composition: an approach from multi-scale energy representation and position specific scoring matrix

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Prediction of GABAA receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine

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Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach

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Prediction of protein secondary structure content by using the concept of Chou's pseudo amino acid composition and support vector machine

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Prediction of cell wall lytic enzymes using Chou's amphiphilic pseudo amino acid composition

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Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou's pseudo amino acid composition.

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Plant-mPLoc: a top-down strategy to augment the power for predicting plant protein subcellular localization

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1 reference

https://pubmed.ncbi.nlm.nih.gov/23283513

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

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

1 reference

https://pubmed.ncbi.nlm.nih.gov/23283513

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Identifying bacterial virulent proteins by fusing a set of classifiers based on variants of Chou's pseudo amino acid composition and on evolutionary information

1 reference

https://pubmed.ncbi.nlm.nih.gov/23283513

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Protein sorting signals and prediction of subcellular localization

1 reference

https://pubmed.ncbi.nlm.nih.gov/23283513

12 December 2020

based on heuristic

inferred from PubMed ID database lookup

Identifiers

10.1007/S10822-012-9628-0

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

DBLP publication ID

journals/jcamd/ChangWLCHH13

1 reference

DBLP Dataset 2021-01-02

28 January 2021

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

2 April 2018

http://europepmc.org/abstract/MED/23283513

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