Institute of Computing Technology, Chinese Academy IR
| Deep Learning in Proteomics | |
| Wen, Bo1,2; Zeng, Wen-Feng3; Liao, Yuxing1,2; Shi, Zhiao1,2; Savage, Sara R.1,2; Jiang, Wen1,2; Zhang, Bing1,2 | |
| 2020-10-30 | |
| 发表期刊 | PROTEOMICS
 |
| ISSN | 1615-9853 |
| 页码 | 21 |
| 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. |
| 关键词 | bioinformatics deep learning proteomics |
| DOI | 10.1002/pmic.201900335 |
| 收录类别 | SCI |
| 语种 | 英语 |
| 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 |
| WOS类目 | Biochemical Research Methods ; Biochemistry & Molecular Biology |
| WOS记录号 | WOS:000585073200001 |
| 出版者 | WILEY |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.204/handle/2XEOYT63/16001 |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 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. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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