Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.8K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
6.8K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Corrigendum to "GinDB-AI: An integrated database of Panax-derived compounds and an AI-driven platform for multidimensional information and biological activity prediction" [J Ginseng Res 50/3 (2026) 100986].

Journal of ginseng research·2026
Same author

CONTRA-IL6: an interpretable hybrid convolutional neural network and Transformer framework for accurate prediction of interleukin-6-inducing peptides using protein language models.

Briefings in bioinformatics·2026
Same author

GinDB-AI: An integrated ginsenoside database and AI-driven platform for multidimensional information and biological activity prediction.

Journal of ginseng research·2026
Same author

DeepTYLCV: An interpretable and experimentally validated AI model for predicting virulence of different tomato yellow leaf curl virus strains.

Plant communications·2026
Same author

Upfront Aspirin-Free Antiplatelet Monotherapy After Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis of Safety and Efficacy.

Indian heart journal·2026
Same author

Changes in lipoprotein(a) and their association with LDL-C in patients with ACS treated with triple oral lipid-lowering therapy.

Journal of clinical lipidology·2026
Same journal

Improving Cancer Driver Gene Prediction using Biological knowledge-guided Prompts for LLM.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Exploring Complex Genetic Mechanisms in Brain Imaging Genetics via a New Multi-task Learning Method.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

A Multi-Modal Framework for Phage-Host Interaction Prediction Using Multi-View Contrastive Learning.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Decoding Gene-Disease Associations with Computational Methods: A Survey.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

A Competitive Coevolution-based Cancer Driver Pathway Identification Algorithm for Maximizing Coverage, Mutual Exclusivity, and Subnet Importance.

IEEE transactions on computational biology and bioinformatics·2026
Same journal

Prediction of GO Terms Based on Partitioning PPI Networks into Highly Connected Components.

IEEE transactions on computational biology and bioinformatics·2026
查看所有相关文章

相关实验视频

Updated: Sep 11, 2025

The Determination of Protease Specificity in Mouse Tissue Extracts by MALDI-TOF Mass Spectrometry: Manipulating PH to Cause Specificity Changes
09:47

The Determination of Protease Specificity in Mouse Tissue Extracts by MALDI-TOF Mass Spectrometry: Manipulating PH to Cause Specificity Changes

Published on: May 25, 2018

6.9K

TP-ML:一种基于机器学习的工具,用于使用序列衍生最佳特征识别氨酸蛋白酶.

Ahmad Firoz, Adeel Malik, Nitin Mahajan

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括
    此摘要是机器生成的。

    我们开发了TP-ML,这是一种机器学习工具,用于识别三蛋白酶 (TP). 这种计算方法加速了治疗和工业用途这些重要酶的发现和表征.

    更多相关视频

    Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis
    09:26

    Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis

    Published on: May 23, 2021

    3.3K
    A Protocol for Computer-Based Protein Structure and Function Prediction
    16:41

    A Protocol for Computer-Based Protein Structure and Function Prediction

    Published on: November 3, 2011

    68.9K

    相关实验视频

    Last Updated: Sep 11, 2025

    The Determination of Protease Specificity in Mouse Tissue Extracts by MALDI-TOF Mass Spectrometry: Manipulating PH to Cause Specificity Changes
    09:47

    The Determination of Protease Specificity in Mouse Tissue Extracts by MALDI-TOF Mass Spectrometry: Manipulating PH to Cause Specificity Changes

    Published on: May 25, 2018

    6.9K
    Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis
    09:26

    Identification of Antibacterial Immunity Proteins in Escherichia coli using MALDI-TOF-TOF-MS/MS and Top-Down Proteomic Analysis

    Published on: May 23, 2021

    3.3K
    A Protocol for Computer-Based Protein Structure and Function Prediction
    16:41

    A Protocol for Computer-Based Protein Structure and Function Prediction

    Published on: November 3, 2011

    68.9K

    科学领域:

    • 生物化学和生物信息学
    • 酶学 是一种酶学.
    • 计算生物学 计算生物学

    背景情况:

    • 氨酸蛋白酶 (TPs) 是关键的酶,参与生物过程和疾病,如阿尔茨海默氏症和癌症.
    • 它们的细胞内蛋白质降解能力提供了治疗和工业潜力.
    • 目前用于TP识别的实验方法是艰苦而昂贵的.

    研究的目的:

    • 开发一种高效的计算工具,用于预测三蛋白酶 (TP).
    • 加快新型TP的识别和表征,用于研究和应用.
    • 克服传统的实验TP发现方法的局限性.

    主要方法:

    • 开发了一个基于支持矢量机器的预测工具TP-ML.
    • 创建了一个基准数据集,并从氨基酸序列中提取了物理化学和组成特征.
    • 比较了特征选择方法,以确定最佳特征集.
    • 培训和评估了五个机器学习分类器.

    主要成果:

    • TP-ML表现出强大的性能,被选为最佳模型.
    • 该工具在交叉验证 (0.934) 和独立评估 (0.888) 中都实现了高精度.
    • 该研究确定了TP预测的最佳特征集.

    结论:

    • TP-ML是一种强大的计算工具,用于识别三蛋白酶.
    • 这种工具可以显著帮助TP的实验性表征.
    • TP-ML促进了对三蛋白酶的工业应用的探索.