Accurate Identification of Human Phosphorylated Proteins by Ensembling Supervised Kernel Self‐organizing Maps-Reference-Cited by-同舟云学术

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Accurate Identification of Human Phosphorylated Proteins by Ensembling Supervised Kernel Self‐organizing Maps

Published:2020-03-13 Issue:7 Volume:39 Page:1900141
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Cui Bei‐Liang¹,Ding Yong²

Affiliation:

1. Network Information CenterNanjing TECH University Nanjing 211816 P. R. China

2. Information CenterNanjing Polytechnic Institute Nanjing 210084 P. R. China

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/minf.201900141

Reference40 articles.

1. The origins of protein phosphorylation

2. The role of protein phosphorylation in human health and disease.

3. Comparative phosphoproteomic analysis reveals differentially phosphorylated proteins regulate anther and pollen development in kenaf cytoplasmic male sterility line

4. Understanding Alzheimer's disease by global quantification of protein phosphorylation and sialylated N-linked glycosylation profiles: A chance for new biomarkers in neuroproteomics?

5. iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory

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1. An integrated model for medical expense system optimization during diagnosis process based on artificial intelligence algorithm;Journal of Combinatorial Optimization;2021-06-26

2. Prediction of human phosphorylated proteins by extracting multi-perspective discriminative features from the evolutionary profile and physicochemical properties through LFDA;Chemometrics and Intelligent Laboratory Systems;2020-08

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