A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes

A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes

Proteomics is often used to map protein-drug interactions but identifying a drug’s protein targets along with the binding interfaces has not been achieved yet. Here, the authors integrate limited proteolysis and machine learning for the proteome-wide mapping of drug protein targets and binding sites...

Full description

Bibliographic Details
Main Authors: Ilaria Piazza, Nigel Beaton, Roland Bruderer, Thomas Knobloch, Crystel Barbisan, Lucie Chandat, Alexander Sudau, Isabella Siepe, Oliver Rinner, Natalie de Souza, Paola Picotti, Lukas Reiter
Format: Article
Language:English
Published: Nature Publishing Group 2020-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-18071-x

Internet

https://doi.org/10.1038/s41467-020-18071-x

Similar Items