(Q39646826)

English

pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC.

scientific article published on 26 June 2016

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scholarly article

1 reference

Europe PubMed Central

13 September 2017

pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC. (English)

1 reference

Europe PubMed Central

13 September 2017

protein sumoylation

1 reference

based on heuristic

inferred from title

4

object named as

Xuan Xiao

1 reference

Europe PubMed Central

13 September 2017

5

object named as

Kuo-Chen Chou

1 reference

Europe PubMed Central

13 September 2017

author name string

Jianhua Jia

1

1 reference

Europe PubMed Central

13 September 2017

Liuxia Zhang

2

1 reference

Europe PubMed Central

13 September 2017

Zi Liu

3

1 reference

Europe PubMed Central

13 September 2017

language of work or name

0 references

publication date

26 June 2016

1 reference

Europe PubMed Central

13 September 2017

number of pages

9

1 reference

based on heuristic

inferred from page(s)

1 reference

Europe PubMed Central

13 September 2017

32

1 reference

Europe PubMed Central

13 September 2017

20

1 reference

Europe PubMed Central

13 September 2017

3133-3141

1 reference

Europe PubMed Central

13 September 2017

UniProt: the Universal Protein knowledgebase

1 reference

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

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SUMOhydro: a novel method for the prediction of sumoylation sites based on hydrophobic properties

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A key driving force in determination of protein structural classes.

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Prediction of tight turns and their types in proteins.

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Prediction of protein cellular attributes using pseudo-amino acid composition

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Prediction of protein signal sequences and their cleavage sites.

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Prediction of signal peptides using scaled window

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Using subsite coupling to predict signal peptides

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Prediction of G-protein-coupled receptor classes.

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Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes

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Some remarks on protein attribute prediction and pseudo amino acid composition

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Some remarks on predicting multi-label attributes in molecular biosystems

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Impacts of bioinformatics to medicinal chemistry

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Prediction and classification of protein subcellular location-sequence-order effect and pseudo amino acid composition

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Prediction of membrane protein types by incorporating amphipathic effects

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Using discriminant function for prediction of subcellular location of prokaryotic proteins.

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Protein subcellular location prediction

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Bioinformatical analysis of G-protein-coupled receptors.

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Domain structural class prediction.

1 reference

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Recent progress in protein subcellular location prediction

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

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Predicting human immunodeficiency virus protease cleavage sites in proteins by a discriminant function method

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Prediction of protein structural classes

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Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC.

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PseAAC-General: fast building various modes of general form of Chou's pseudo-amino acid composition for large-scale protein datasets

1 reference

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PseAAC-Builder: a cross-platform stand-alone program for generating various special Chou's pseudo-amino acid compositions

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A study on the correlation of G-protein-coupled receptor types with amino acid composition.

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Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition

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iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset

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Predicting lysine phosphoglycerylation with fuzzy SVM by incorporating k-spaced amino acid pairs into Chou׳s general PseAAC.

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iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou's PseAAC to formulate DNA samples

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Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model

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Prediction of protein structural classes by modified mahalanobis discriminant algorithm.

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1 reference

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An alternate-subsite-coupled model for predicting HIV protease cleavage sites in proteins.

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GPS-SUMO: a tool for the prediction of sumoylation sites and SUMO-interaction motifs.

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Molecular science for drug development and biomedicine

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An intriguing controversy over protein structural class prediction

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Editorial: current progress in structural bioinformatics of protein-biomolecule interactions

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Some insights into protein structural class prediction

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Subcellular location prediction of apoptosis proteins

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Perspectives in Medicinal Chemistry.

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21 January 2018

Identifiers

10.1093/BIOINFORMATICS/BTW387

1 reference

Europe PubMed Central

13 September 2017

DBLP publication ID

journals/bioinformatics/JiaZLXC16

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

Europe PubMed Central

13 September 2017

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