2026-10-06T08:47:22Z
https://api.figshare.com/v2/oai
oai:figshare.com:article/34072460
2026-10-05T17:36:56Z
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month_year_10_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
Andrea Di Ianni (17987730)
Francesco Molinaro (25316999)
Luca M. Barbero (17987739)
Kyra Cowan (17987736)
Federico Riccardi Sirtori (1999360)
Biochemistry
Space Science
Medicine
Pharmacology
Biotechnology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Mental Health
Cardiology
web app interface
prior programming knowledge
existing coding skills
deep adc characterization
deconvoluted mass tables
data processing represent
mass spectrometric analysis
streamlining data analysis
simplify data analysis
source python pipeline
automated python pipeline
species ambiguity reporting
graphical user interface
si </ u
r </ u
bio </ u
automated mean drug
structural integrity analysis
u </ u
source pipeline
plot data
mean drug
automated plotting
vivo </
vitro </
</ u
structural integrity
integrity scoring
mean dar
drug conjugates
without requiring
sample preparation
relatively robust
overall interpretation
nified intact
new candidate
neutral postprocessing
limiting steps
hypothesis generation
first time
different vendors
different operators
different laboratories
customizable degradation
complex modalities
automated open
ass analy
Drug-to-antibody
ratio and structural integrity represent two critical
quality attributes for antibody-drug conjugates and multispecific
biologics in development. Intact mass spectrometry analysis of biologics
is crucial to understanding the behavior of a new candidate, especially
for complex modalities. Sample preparation is relatively robust and
easy to reproduce in different laboratories and by different operators.
However, mass spectrometric analysis and data processing represent
the two most limiting steps. So far, no automated open-source pipeline
has been published, which can automatically postprocess deconvoluted
spectrum outputs from different vendors, plot data, and provide an
overall interpretation of mean DAR and deep ADC characterization,
especially on <i>in vivo</i> samples. BioDRUMs offers different
features that complement existing commercial mass spectrometry deconvolution
tools, such as customizable degradation-hypothesis generation, isobaric-species
ambiguity reporting, vendor-neutral postprocessing of deconvoluted
mass tables, structural-integrity scoring, automated plotting, and
reporting. Streamlining data analysis of the mean drug-to-antibody
ratio and structural integrity can accelerate and provide uniform
data outputs and result delivery across different <i>in vitro</i>/<i>in vivo</i> studies. Moreover, a user-friendly pipeline
would enable scientists to perform such an analysis for the first
time more confidently, without requiring any pre-existing coding skills.
In this work, we present BioDRUMs (<u>Bio</u>logics <u>D</u>rug <u>R</u>atio and <u>U</u>nified intact <u>M</u>ass analy<u>si</u>s), an automated Python pipeline to simplify data analysis of the
mean drug-to-antibody ratio and structural integrity analysis of biologics
and bioconjugates. A graphical user interface (GUI) and a Web app
interface have also been implemented to make it user-friendly for
users with little to no prior programming knowledge.
2026-10-05T00:00:00Z
Dataset
Dataset
10.1021/jasms.6c00289.s002
https://figshare.com/articles/dataset/BioDRUMs_An_Open-Source_Python_Pipeline_for_Automated_Mean_Drug-to-Antibody_Ratio_and_Biologics_Structural_Integrity_Analysis_from_High-Resolution_Mass_Spectrometry_Data/34072460
CC BY-NC 4.0