iPhos-PseEvo: Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into General PseAAC via Grey System Theory-Reference-Cited by-同舟云学术

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

Published:2016-05-12 Issue:5-6 Volume:36 Page:1600010
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Qiu Wang-Ren¹²,Sun Bi-Qian¹,Xiao Xuan¹³,Xu Dong²,Chou Kuo-Chen³⁴

Affiliation:

1. Computer Department; Jingdezhen Ceramic Institute; Jingdezhen 333403 China

2. Department of Computer Science and Bond Life Science Center; University of Missouri; Columbia, MO USA

3. Gordon Life Science Institute, Boston; Massachusetts 02478 USA

4. Center of Excellence in Genomic Medicine Research (CEGMR); King Abdulaziz University; Jeddah 21589 Saudi Arabia

Funder

National Nature Science Foundation of China

Natural Science Foundation of Jiangxi Province, China

Scientific Research plan of the Department of Education of JiangXi Province

Young Teacher Development Plan of Visiting Scholars Program

Publisher

Wiley

Subject

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

Reference118 articles.

1. Peptide Biosensors for the Electrochemical Measurement of Protein Kinase Activity

2. A Model of the Complex between Cyclin-Dependent Kinase 5 and the Activation Domain of Neuronal Cdk5 Activator

3. The Protein Kinase Complement of the Human Genome

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

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