Deep Learning in Proteomics

doi:10.1002/pmic.201900335

	Deep Learning in Proteomics
	Wen, Bo 1,2; Zeng, Wen-Feng 3; Liao, Yuxing 1,2; Shi, Zhiao 1,2; Savage, Sara R.1,2; Jiang, Wen 1,2; Zhang, Bing 1,2
刊名	PROTEOMICS
	2020-10-30
页码	21
关键词	bioinformatics deep learning proteomics
ISSN号	1615-9853
DOI	10.1002/pmic.201900335
英文摘要	Proteomics, the study of all the proteins in biological systems, is becoming a data-rich science. Protein sequences and structures are comprehensively catalogued in online databases. With recent advancements in tandem mass spectrometry (MS) technology, protein expression and post-translational modifications (PTMs) can be studied in a variety of biological systems at the global scale. Sophisticated computational algorithms are needed to translate the vast amount of data into novel biological insights. Deep learning automatically extracts data representations at high levels of abstraction from data, and it thrives in data-rich scientific research domains. Here, a comprehensive overview of deep learning applications in proteomics, including retention time prediction, MS/MS spectrum prediction, de novo peptide sequencing, PTM prediction, major histocompatibility complex-peptide binding prediction, and protein structure prediction, is provided. Limitations and the future directions of deep learning in proteomics are also discussed. This review will provide readers an overview of deep learning and how it can be used to analyze proteomics data.
资助项目	National Cancer Institute (NCI) CPTAC[U24 CA210954] ; Cancer Prevention & Research Institutes of Texas (CPRIT)[RR160027] ; McNair Medical Institute at The Robert and Janice McNair Foundation
WOS研究方向	Biochemistry & Molecular Biology
语种	英语
出版者	WILEY
WOS记录号	WOS:000585073200001
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/16000]
专题	中国科学院计算技术研究所
通讯作者	Wen, Bo; Zhang, Bing
作者单位	1.Baylor Coll Med, Lester & Sue Smith Breast Ctr, Houston, TX 77030 USA 2.Baylor Coll Med, Dept Mol & Human Genet, Houston, TX 77030 USA 3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, CAS, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wen, Bo,Zeng, Wen-Feng,Liao, Yuxing,et al. Deep Learning in Proteomics[J]. PROTEOMICS,2020:21.
APA	Wen, Bo.,Zeng, Wen-Feng.,Liao, Yuxing.,Shi, Zhiao.,Savage, Sara R..,...&Zhang, Bing.(2020).Deep Learning in Proteomics.PROTEOMICS,21.
MLA	Wen, Bo,et al."Deep Learning in Proteomics".PROTEOMICS (2020):21.