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Inside Front Cover: Deep Learning in Proteomics
Author(s) -
Wen Bo,
Zeng WenFeng,
Liao Yuxing,
Shi Zhiao,
Savage Sara R.,
Jiang Wen,
Zhang Bing
Publication year - 2020
Publication title -
proteomics
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.202070155
Subject(s) - proteomics , deep learning , front cover , computer science , artificial intelligence , computational biology , cover (algebra) , chemistry , biology , engineering , gene , mechanical engineering , biochemistry
DOI: 10.1002/pmic.201900335 Deep learning holds great potential in proteomics research. In article number 1900335, Bo Wen et al. provide a comprehensive overview of deep learning applications in proteomics. The cover art illustrates some of the applications reviewed in the article. The protein sequence under the GPU chip represents the large amount of proteomics data used for deep learning. The brain in the center of the chip symbolizes artificial intelligence. The blocks spread out from the chip summarizes the main applications described in the article, including PTM prediction, protein structure prediction, de novo peptide sequencing, retention time prediction, MS/MS spectrum prediction, and MHC‐peptide binding prediction. The glowing connections imply high‐speed calculation. The glowing cloud depicts the great potential of deep learning in the analysis of proteomics data.