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Updated: Sep 9, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

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1997-2024年蛋白质学机器学习的进展和趋势:一个文献分析

Chao Tan1, Hao Liu1, Zhen Zhang1

  • 1Clinical Medical College & Affiliated Hospital & College of Basic Medicine, Chengdu University, Chengdu, China.

Frontiers in medicine
|September 3, 2025
PubMed
概括

这种图书统计分析绘制了蛋白质学中的机器学习 (ML),揭示了指数式增长和深度学习等关键趋势. 未来的工作应优先考虑可解释的模型和准确医学的跨学科合作.

关键词:
图书统计机器学习蛋白质组学一个趋势视觉分析

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Proteomics01:33

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Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
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