A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes
oleh: 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 |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-08-01 |
Deskripsi
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.