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本文引用的文献

1
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Methods Mol Biol. 2017;1550:339-368. doi: 10.1007/978-1-4939-6747-6_23.
2
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Nature. 2016 Sep 15;537(7620):347-55. doi: 10.1038/nature19949.
3
Small molecules, big targets: drug discovery faces the protein-protein interaction challenge.小分子,大目标:药物发现面临蛋白-蛋白相互作用挑战。
Nat Rev Drug Discov. 2016 Aug;15(8):533-50. doi: 10.1038/nrd.2016.29. Epub 2016 Apr 11.
4
MS-REDUCE: an ultrafast technique for reduction of big mass spectrometry data for high-throughput processing.MS-REDUCE:一种用于减少大量质谱数据以进行高通量处理的超快速技术。
Bioinformatics. 2016 May 15;32(10):1518-26. doi: 10.1093/bioinformatics/btw023. Epub 2016 Jan 21.
5
Lessons in de novo peptide sequencing by tandem mass spectrometry.串联质谱法从头进行肽测序的经验教训。
Mass Spectrom Rev. 2015 Jan-Feb;34(1):43-63. doi: 10.1002/mas.21406.
6
Glycoproteomic analysis of prostate cancer tissues by SWATH mass spectrometry discovers N-acylethanolamine acid amidase and protein tyrosine kinase 7 as signatures for tumor aggressiveness.通过SWATH质谱法对前列腺癌组织进行糖蛋白质组学分析发现,N-酰基乙醇胺酸酰胺酶和蛋白酪氨酸激酶7是肿瘤侵袭性的标志物。
Mol Cell Proteomics. 2014 Jul;13(7):1753-68. doi: 10.1074/mcp.M114.038273. Epub 2014 Apr 16.
7
An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.一种将肽的串联质谱数据与蛋白质数据库中氨基酸序列相关联的方法。
J Am Soc Mass Spectrom. 1994 Nov;5(11):976-89. doi: 10.1016/1044-0305(94)80016-2.
8
UniNovo: a universal tool for de novo peptide sequencing.UniNovo:从头测序肽的通用工具。
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9
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Proteomics. 2012 Nov;12(22):3299-303. doi: 10.1002/pmic.201200189. Epub 2012 Oct 29.
10
MS-Simulator: predicting y-ion intensities for peptides with two charges based on the intensity ratio of neighboring ions.MS-Simulator:基于相邻离子强度比预测带有两个电荷的肽的 y 离子强度。
J Proteome Res. 2012 Sep 7;11(9):4509-16. doi: 10.1021/pr300235v. Epub 2012 Jul 31.

MaSS-Simulator:一个高度可配置的用于生成 MS/MS 数据集的模拟器,用于对蛋白质组学算法进行基准测试。

MaSS-Simulator: A Highly Configurable Simulator for Generating MS/MS Datasets for Benchmarking of Proteomics Algorithms.

机构信息

Department of Computer Science, Western Michigan University, MI, USA.

School of Computing and Information Sciences, Florida International University, Miami, FL, USA.

出版信息

Proteomics. 2018 Oct;18(20):e1800206. doi: 10.1002/pmic.201800206. Epub 2018 Sep 28.

DOI:10.1002/pmic.201800206
PMID:30216669
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6400488/
Abstract

Mass Spectrometry (MS)-based proteomics has become an essential tool in the study of proteins. With the advent of modern MS machines huge amounts of data is being generated, which can only be processed by novel algorithmic tools. However, in the absence of data benchmarks and ground truth datasets algorithmic integrity testing and reproducibility is a challenging problem. To this end, MaSS-Simulator has been presented, which is an easy to use simulator and can be configured to simulate MS/MS datasets for a wide variety of conditions with known ground truths. MaSS-Simulator offers many configuration options to allow the user a great degree of control over the test datasets, which can enable rigorous and large- scale testing of any proteomics algorithm. MaSS-Simulator is assessed by comparing its performance against experimentally generated spectra and spectra obtained from NIST collections of spectral library. The results show that MaSS-Simulator generated spectra match closely with real-spectra and have a relative-error distribution centered around 25%. In contrast, the theoretical spectra for same peptides have relative-error distribution centered around 150%. MaSS-Simulator will enable developers to specifically highlight the capabilities of their algorithms and provide a strong proof of any pitfalls they might face. Source code, executables, and a user manual for MaSS-Simulator can be downloaded from https://github.com/pcdslab/MaSS-Simulator.

摘要

基于质谱(MS)的蛋白质组学已成为研究蛋白质的重要工具。随着现代 MS 仪器的出现,大量数据正在生成,这些数据只能通过新颖的算法工具进行处理。然而,在缺乏数据基准和真实数据集的情况下,算法完整性测试和可重复性是一个具有挑战性的问题。为此,提出了 MaSS-Simulator,它是一个易于使用的模拟器,可以配置为模拟具有已知真实数据集的各种条件下的 MS/MS 数据集。MaSS-Simulator 提供了许多配置选项,允许用户对测试数据集进行高度控制,从而可以对任何蛋白质组学算法进行严格和大规模的测试。通过将其性能与实验生成的光谱和 NIST 光谱库集合中获得的光谱进行比较,对 MaSS-Simulator 进行了评估。结果表明,MaSS-Simulator 生成的光谱与真实光谱非常吻合,其相对误差分布集中在 25%左右。相比之下,相同肽的理论光谱的相对误差分布集中在 150%左右。MaSS-Simulator 将使开发人员能够专门突出其算法的功能,并为他们可能面临的任何缺陷提供有力的证明。MaSS-Simulator 的源代码、可执行文件和用户手册可以从 https://github.com/pcdslab/MaSS-Simulator 下载。