An Automated Scalable Chemoproteomics Workflow that Recovers Known Serine Hydrolase Target Profiles of Clinically Used Drugs
- DOI
- 10.1021/acschembio.6c00557
- Published
- 2026-09-10
- Container
- ACS Chemical Biology
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acschembio.6c00557,
title = {An Automated Scalable Chemoproteomics Workflow that Recovers Known Serine Hydrolase Target Profiles of Clinically Used Drugs},
author = {Franciscus H.G. ter Brake and Berend Gagestein and Mario van der Stelt and Antonius P.A. Janssen},
year = {2026},
journal = {ACS Chemical Biology},
doi = {10.1021/acschembio.6c00557},
url = {https://doi.org/10.1021/acschembio.6c00557}
}RIS
TY - JOUR TI - An Automated Scalable Chemoproteomics Workflow that Recovers Known Serine Hydrolase Target Profiles of Clinically Used Drugs AU - Franciscus H.G. ter Brake AU - Berend Gagestein AU - Mario van der Stelt AU - Antonius P.A. Janssen PY - 2026 JO - ACS Chemical Biology DO - 10.1021/acschembio.6c00557 UR - https://doi.org/10.1021/acschembio.6c00557 ER -
APA
Brake, F. H. T., Gagestein, B., Stelt, M. V. D., & Janssen, A. P. (2026). An Automated Scalable Chemoproteomics Workflow that Recovers Known Serine Hydrolase Target Profiles of Clinically Used Drugs. ACS Chemical Biology. https://doi.org/10.1021/acschembio.6c00557
Source records
- crossref · retrieved 2026-09-26T17:35:45.148Z