工作流程
数据科学
计算生物学
鉴定(生物学)
蛋白质组学
领域(数学)
化学
计算机科学
生物
数学
生物化学
植物
数据库
基因
纯数学
作者
Daniel Flender,Frédérique Vilenne,Charlotte Adams,Kurt Boonen,Dirk Valkenborg,Geert Baggerman
摘要
Abstract Immunopeptidomics is becoming an increasingly important field of study. The capability to identify immunopeptides with pivotal roles in the human immune system is essential to shift the current curative medicine towards personalized medicine. Throughout the years, the field has matured, giving insight into the current pitfalls. Nowadays, it is commonly accepted that generalizing shotgun proteomics workflows is malpractice because immunopeptidomics faces numerous challenges. While many of these difficulties have been addressed, the road towards the ideal workflow remains complicated. Although the presence of Posttranslational modifications (PTMs) in the immunopeptidome has been demonstrated, their identification remains highly challenging despite their significance for immunotherapies. The large number of unpredictable modifications in the immunopeptidome plays a pivotal role in the functionality and these challenges. This review provides a comprehensive overview of the current advancements in immunopeptidomics. We delve into the challenges associated with identifying PTMs within the immunopeptidome, aiming to address the current state of the field.
科研通智能强力驱动
Strongly Powered by AbleSci AI