Expression proteomics study to determine metallodrug targets and optimal drug combinations
Abstract The emerging technique termed functional identification of target by expression proteomics (FITExP) has been shown to identify the key protein targets of anti-cancer drugs. Here, we use this approach to elucidate the proteins involved in the mechanism of action of two ruthenium(II)-based an...
Enregistré dans:
Auteurs principaux: | Ronald F. S. Lee, Alexey Chernobrovkin, Dorothea Rutishauser, Claire S. Allardyce, David Hacker, Kai Johnsson, Roman A. Zubarev, Paul J. Dyson |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2017
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/4de57fb3c86d42eab3c5f8158d0517a9 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Detection of viral proteins in human cells lines by xeno-proteomics: elimination of the last valid excuse for not testing every cellular proteome dataset for viral proteins.
par: Alexey L Chernobrovkin, et autres
Publié: (2014) -
ProTargetMiner as a proteome signature library of anticancer molecules for functional discovery
par: Amir Ata Saei, et autres
Publié: (2019) -
Proteome activity landscapes of tumor cell lines determine drug responses
par: Martin Frejno, et autres
Publié: (2020) -
Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics
par: Aikaterini Geladaki, et autres
Publié: (2019) -
Comprehensive chemical proteomics analyses reveal that the new TRi-1 and TRi-2 compounds are more specific thioredoxin reductase 1 inhibitors than auranofin
par: Pierre Sabatier, et autres
Publié: (2021)