Multi-iPPseEvo: A Multi-label Classifier for Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into Chou's General PseAAC via Grey System Theory (Q39343297)

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scientific article published on 29 September 2016

Language	Label	Description	Also known as
English	Multi-iPPseEvo: A Multi-label Classifier for Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into Chou's General PseAAC via Grey System Theory	scientific article published on 29 September 2016

Statements

scholarly article

1 reference

Europe PubMed Central

PubMed publication ID

11 September 2017

Multi-iPPseEvo: A Multi-label Classifier for Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into Chou's General PseAAC via Grey System Theory (English)

1 reference

Europe PubMed Central

PubMed publication ID

11 September 2017

phosphorylation

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author name string

Wang-Ren Qiu

1

1 reference

Europe PubMed Central

PubMed publication ID

11 September 2017

Quan-Shu Zheng

2

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Europe PubMed Central

PubMed publication ID

11 September 2017

Bi-Qian Sun

3

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Europe PubMed Central

PubMed publication ID

11 September 2017

Xuan Xiao

4

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Europe PubMed Central

PubMed publication ID

11 September 2017

publication date

29 September 2016

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Europe PubMed Central

PubMed publication ID

11 September 2017

Molecular Informatics

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Europe PubMed Central

PubMed publication ID

11 September 2017

36

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Europe PubMed Central

PubMed publication ID

11 September 2017

3

1 reference

Europe PubMed Central

PubMed publication ID

11 September 2017

Impacts of bioinformatics to medicinal chemistry

1 reference

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Oncogenic kinase signalling

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Peptide biosensors for the electrochemical measurement of protein kinase activity.

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The protein kinase complement of the human genome

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The role of protein phosphorylation in human health and disease. The Sir Hans Krebs Medal Lecture

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Mass spectrometry-based proteomics

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Detection of the site of phosphorylation in a peptide using Raman spectroscopy and partial least squares discriminant analysis

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Use of antibodies for detection of phosphorylated proteins separated by two-dimensional gel electrophoresis

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Determination of specific protein kinase activities using phosphorus-33.

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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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Prediction of β-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine

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Protein Remote Homology Detection by Combining Chou's Pseudo Amino Acid Composition and Profile-Based Protein Representation

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PseDNA-Pro: DNA-Binding Protein Identification by Combining Chou's PseAAC and Physicochemical Distance Transformation.

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Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences

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Recent progress in protein subcellular location prediction

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Prediction of membrane proteins using split amino acid and ensemble classification.

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Identifiers

10.1002/MINF.201600085

1 reference

Europe PubMed Central

PubMed publication ID

11 September 2017

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

11 September 2017

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