BioDRUMs: An Open-Source Python Pipeline for Automated Mean Drug-to-Antibody Ratio and Biologics Structural Integrity Analysis from High-Resolution Mass Spectrometry Data
- DOI
- 10.1021/jasms.6c00289
- Published
- 2026-10-05
- Container
- Journal of the American Society for Mass Spectrometry
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/jasms.6c00289,
title = {BioDRUMs: An Open-Source Python Pipeline for Automated
Mean Drug-to-Antibody Ratio and Biologics Structural Integrity Analysis
from High-Resolution Mass Spectrometry Data},
author = {Andrea Di Ianni and Francesco Molinaro and Luca M. Barbero and Kyra Cowan and Federico Riccardi Sirtori},
year = {2026},
journal = {Journal of the American Society for Mass Spectrometry},
doi = {10.1021/jasms.6c00289},
url = {https://doi.org/10.1021/jasms.6c00289}
}RIS
TY - JOUR TI - BioDRUMs: An Open-Source Python Pipeline for Automated Mean Drug-to-Antibody Ratio and Biologics Structural Integrity Analysis from High-Resolution Mass Spectrometry Data AU - Andrea Di Ianni AU - Francesco Molinaro AU - Luca M. Barbero AU - Kyra Cowan AU - Federico Riccardi Sirtori PY - 2026 JO - Journal of the American Society for Mass Spectrometry DO - 10.1021/jasms.6c00289 UR - https://doi.org/10.1021/jasms.6c00289 ER -
APA
Ianni, A. D., Molinaro, F., Barbero, L. M., Cowan, K., & Sirtori, F. R. (2026). BioDRUMs: An Open-Source Python Pipeline for Automated Mean Drug-to-Antibody Ratio and Biologics Structural Integrity Analysis from High-Resolution Mass Spectrometry Data. Journal of the American Society for Mass Spectrometry. https://doi.org/10.1021/jasms.6c00289
Source records
- crossref · retrieved 2026-11-06T07:37:12.125Z