法医毒理学
计算生物学
计算机科学
数据科学
毒理
纳米技术
生物
化学
材料科学
色谱法
作者
Thomas Gicquel,Romain Pelletier,Alexis Bourdais,Pierre‐Jean Ferron,Isabelle Morel,Pierre‐Marie Allard,Brendan Le Daré
标识
DOI:10.1016/j.trac.2024.117547
摘要
Molecular networking (MN) is a bioinformatic approach that organizes tandem mass spectrometry (MS/MS) datasets and allows for its efficient visualization and exploration. In recent years, MN has been transposed from the fields of natural product analysis to toxicological studies of xenobiotics. Here, we review emerging trends in MN applications in clinical, forensic and fundamental toxicology. We highlight the strengths and limitations of MN in each field. Lastly, we provide guidance on the use of MN in fundamental toxicology and routine toxicological testing and discuss perspectives for added-value applications of MN in preclinical drug development.
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