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Tandem Mass Spectrometry is a cornerstone technique for identifying unknown small molecules in fields such as metabolomics, natural product discovery and environmental analysis. However, certain aspects, such as the probabilistic…

人工智能 · 计算机科学 2026-01-19 Laura Mismetti , Marvin Alberts , Andreas Krause , Mara Graziani

Tandem mass spectrometry has played a pivotal role in advancing proteomics, enabling the high-throughput analysis of protein composition in biological tissues. Many deep learning methods have been developed for \emph{de novo} peptide…

定量方法 · 定量生物学 2024-11-01 Jingbo Zhou , Shaorong Chen , Jun Xia , Sizhe Liu , Tianze Ling , Wenjie Du , Yue Liu , Jianwei Yin , Stan Z. Li

Liquid chromatography with tandem mass spectrometry (LC-MS/MS) based proteomics is a well-established research field with major applications such as identification of disease biomarkers, drug discovery, drug design and development. In…

定量方法 · 定量生物学 2018-01-08 Fatema Tuz Zohora , Ngoc Hieu Tran , Xianglilan Zhang , Lei Xin , Baozhen Shan , Ming Li

As in many other scientific domains, we face a fundamental problem when using machine learning to identify proteins from mass spectrometry data: large ground truth datasets mapping inputs to correct outputs are extremely difficult to…

De novo peptide sequencing algorithms have been widely used in proteomics to analyse tandem mass spectra (MS/MS) and assign them to peptides, but quality-control methods to evaluate the confidence of de novo peptide sequencing are lagging…

神经与进化计算 · 计算机科学 2019-08-22 Samaneh Azari , Bing Xue , Mengjie Zhang , Lifeng Peng

Liquid chromatography mass spectrometry (LC-MS)-based metabolomics and exposomics aim to measure detectable small molecules in biological samples. The results facilitate hypothesis-generating discovery of metabolic changes and disease…

定量方法 · 定量生物学 2026-01-06 Xujun Che , Xiuxia Du , Depeng Xu

Metaproteomics are becoming widely used in microbiome research for gaining insights into the functional state of the microbial community. Current metaproteomics studies are generally based on high-throughput tandem mass spectrometry (MS/MS)…

定量方法 · 定量生物学 2020-09-24 Xuan Guo , Shichao Feng

Mass spectrometry provides a high-throughput way to identify proteins in biological samples. In a typical experiment, proteins in a sample are first broken into their constituent peptides. The resulting mixture of peptides is then subjected…

应用统计 · 统计学 2010-11-10 Qunhua Li , Michael J. MacCoss , Matthew Stephens

De novo peptide sequencing from mass spectrometry (MS) data is a critical task in proteomics research. Traditional de novo algorithms have encountered a bottleneck in accuracy due to the inherent complexity of proteomics data. While deep…

定量方法 · 定量生物学 2023-12-20 Zhi Jin , Sheng Xu , Xiang Zhang , Tianze Ling , Nanqing Dong , Wanli Ouyang , Zhiqiang Gao , Cheng Chang , Siqi Sun

Proteins perform nearly all cellular functions and constitute most drug targets, making their analysis fundamental to understanding human biology in health and disease. Tandem mass spectrometry (MS$^2$) is the major analytical technique in…

生物大分子 · 定量生物学 2025-09-01 Hao Xu , Zhichao Wang , Shengqi Sang , Pisit Wajanasara , Nuno Bandeira

Proteomics is the large-scale analysis of the proteins. The common method for identifying proteins and characterising their amino acid sequences is to digest the proteins into peptides, analyse the peptides using mass spectrometry and…

计算工程、金融与科学 · 计算机科学 2019-02-05 Samaneh Azari , Bing Xue , Mengjie Zhang , Lifeng Peng

Nanopore resistive pulse sensors are emerging technologies for single-molecule protein sequencing. But they can hardly detect small post-translational modifications (PTMs) such as hydroxylation in single-molecule level. While a combination…

定量方法 · 定量生物学 2024-01-09 Mulusew W. Yaltaye , Yingqi Zhao , Eva Bozo , Pei-Lin Xin , Vahid Farrah , Francesco De Angelis , Jian-An Huang

Tandem mass spectrometry has played a pivotal role in advancing proteomics, enabling the analysis of protein composition in biological samples. Despite the development of various deep learning methods for identifying amino acid sequences…

定量方法 · 定量生物学 2024-03-18 Jun Xia , Shaorong Chen , Jingbo Zhou , Tianze Ling , Wenjie Du , Sizhe Liu , Stan Z. Li

The ultimate target of proteomics identification is to identify and quantify the protein in the organism. Mass spectrometry (MS) based on label-free protein quantitation has mainly focused on analysis of peptide spectral counts and ion peak…

定量方法 · 定量生物学 2013-12-05 Biao He , Baochang Zhang , Yan Fu

Protein phosphorylation provides a dynamic readout of cellular signaling yet remains difficult to detect at low abundance and stoichiometry. Single-molecule surface-enhanced Raman spectroscopy (SM-SERS) using particle-in-pore plasmonic…

介观与纳米尺度物理 · 物理学 2026-04-09 Mulusew W. Yaltaye , Yingqi Zhao , Kuo Zhan , Vahid Farrahi , Jian-An Huang

The discovery and identification of molecules in biological and environmental samples is crucial for advancing biomedical and chemical sciences. Tandem mass spectrometry (MS/MS) is the leading technique for high-throughput elucidation of…

Mass spectrometry is the dominant technology in the field of proteomics, enabling high-throughput analysis of the protein content of complex biological samples. Due to the complexity of the instrumentation and resulting data, sophisticated…

Nanobodies (Nb) are monomeric heavy-chain fragments derived from heavy-chain only antibodies naturally found in Camelids and Sharks. Their considerably small size (~3-4 nm; 13 kDa) and favorable biophysical properties make them attractive…

De novo peptide sequencing aims to recover amino acid sequences of a peptide from tandem mass spectrometry (MS) data. Existing approaches for de novo analysis enumerate MS evidence for all amino acid classes during inference. It leads to…

定量方法 · 定量生物学 2022-03-25 Yan Yang , Zakir Hossain , Khandaker Asif , Liyuan Pan , Shafin Rahman , Eric Stone

Mass spectrometry provides a high-throughput approach to identify proteins in biological samples. A key step in the analysis of mass spectrometry data is to identify the peptide sequence that, most probably, gave rise to each observed…

应用统计 · 统计学 2013-01-14 Qunhua Li , Jimmy K. Eng , Matthew Stephens
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