DB48_SpectralLibrary.predicted.speclib

Figshare2023-11-27 更新2026-04-28 收录

DIA质谱蛋白质组学

蛋白质组分析

数据链接：

https://figshare.com/articles/dataset/DB48_SpectralLibrary_predicted_speclib/24638913 数据链接链接失效反馈

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资源简介：

Spectral library generated in silico via DIA-NN (1.8.1) using a tandem mass spectrometry proteotyping based database from a human faeces sample.

创建时间：

2023-11-27

Australian Nucleotide (DNA/RNA) and Protein sequences from Australian organisms in the species Panicum antidotale

植物基因组学

蛋白质组分析

This data collection contains all currently published nucleotide (DNA/RNA) and protein sequences from Australian Panicum antidotale, commonly known as Blue Panic. Other information about this group:

Research Data Australia50

Use of Hybrid Data-Dependent and -Independent Acquisition Spectral Libraries Empowers Dual-Proteome Profiling

蛋白质组分析

质谱检测

In the context of bacterial infections, it is imperative that physiological responses can be studied in an integrated manner, meaning a simultaneous analysis of both the host and the pathogen response

NIAID Data Ecosystem40

Thermal Proteome Profiling dataset from Hazara virus infected SW13 cells treated with DMSO or antiviral inhibitor 20 µM TH6744.

抗病毒药物靶点

蛋白质组分析

Article: S3 Dataset from a publication "Tampere, M.; Pettke, A.; Salata, C.; Wallner, O.; Koolmeister, T.; Cazares-Körner, A.; Visnes, T.; Hesselman, M.C.; Kunold, E.; Wiita, E.; Kalderén, C.;

DataCite Commons2025-01-15 更新30

Comprehensive Analysis of Protein N‑Terminome by Guanidination of Terminal Amines

蛋白质组分析

蛋白质切割位点分析

Protein N-termini and their modifications not only represent different protein isoforms but also relate to the functional annotation and proteolytic activities. Currently, negative selection methods,

NIAID Data Ecosystem50

Precipitate-Supported Thermal Proteome Profiling Coupled with Deep Learning for Comprehensive Screening of Drug Target Proteins

药物靶点筛选

蛋白质组分析

Although thermal proteome profiling (TPP) acts as a popular modification-free approach for drug target deconvolution, some key problems are still limiting screening sensitivity. In the prevailing TPP

NIAID Data Ecosystem40

DB48_SpectralLibrary.predicted.speclib

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