反褶积
蛋白质组
溶解度
药品
化学
蛋白质组学
药物开发
计算机科学
计算生物学
色谱法
药理学
生物化学
生物
算法
有机化学
基因
作者
Zheng Ser,Radoslaw M. Sobota
标识
DOI:10.1002/pmic.202400147
摘要
Abstract Drug protein‐target identification in past decades required screening compound libraries against known proteins to determine drugs binding to specific protein. Protein targets used in drug‐target screening were selected predominantly used laborious genetic manipulation assays. In 2013, a team led by Pär Nordlund from Karolinska Institutet (Stockholm, Sweden) developed Cellular Thermal Shift Assay (CETSA), a method which, for the first time, enabled the possibility of drug protein‐target identification in the complex cellular proteome. High throughput, quantitative mass spectrometry (MS) proteomics appeared as a compatible analytical method of choice to complement CETSA, aka Thermal Protein Profiling assay (TPP). Since the seminal CETSA‐MS/ TPP‐MS publications, different protein‐target deconvolution strategies emerged including Proteome Integral Solubility Alteration (PISA). The work of Emery–Corbin et al. (Proteomics 2024, 2300644), titled Proteome Integral Solubility Alteration via label‐free DIA approach (PISA‐DIA), introduces Data–Independent Acquisition (DIA) as a quantification method, opening new avenues in drug target‐deconvolution field. Application of DIA for target deconvolution offers attractive alternative to widely used data dependent methodology.
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