DeepMal: Accurate prediction of protein malonylation sites by deep neural networks-Reference-Cited by-同舟云学术

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DeepMal: Accurate prediction of protein malonylation sites by deep neural networks

Published:2020-12 Issue: Volume:207 Page:104175
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Wang Minghui,Cui Xiaowen,Li Shan,Yang Xinhua,Ma Anjun,Zhang Yusen,Yu Bin

Funder

National Nature Science Foundation of China

Key Research and Development Program of Shandong Province of China

Natural Science Foundation of Shandong Province of China

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference58 articles.

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2. Proteomic analysis of posttranslational modifications;Matthias;Nat. Biotechnol,2003

3. Identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting, Neural Comput;Wang;Appl,2020

4. Dynamic relocalization of hOGG1 during the cell cycle is disrupted in cells harbouring the hOGG1-Cys326 polymorphic variant;Luna;Nucleic Acids Res.,2005

5. The clinical and biological relationship between Type II diabetes mellitus and Alzheimer’s disease;Nicolls;Curr. Alzheimer Res.,2004

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