Response to Letter to Editor by A. Derbalah et al.: the role of automation in enhancing reproducibility and interoperability of PBPK models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F25%3A00082277" target="_blank" >RIV/00159816:_____/25:00082277 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14310/25:00143556

Výsledek na webu

<a href="https://academic.oup.com/bib/article/26/1/bbaf060/8006249" target="_blank" >https://academic.oup.com/bib/article/26/1/bbaf060/8006249</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/bib/bbaf060" target="_blank" >10.1093/bib/bbaf060</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Response to Letter to Editor by A. Derbalah et al.: the role of automation in enhancing reproducibility and interoperability of PBPK models

Popis výsledku v původním jazyce

This correspondence highlights the role of automation in physiologically based pharmacokinetic (PBPK) modeling, particularly for complex biologics models. It references the approaches of Sepp et al. (2019) and Liu et al. (2024), who implemented automated code generation using MATLAB and the Ubiquity R-package, respectively, to manage multi-compartment tissue models including vascular, endothelial, endosomal, and interstitial sub-compartments. Automation improves model accessibility, reproducibility, and error reduction, especially for large-scale models, while manual scripting remains valuable for smaller models, teaching, and understanding model mechanics. The authors emphasize the potential of open collaborative initiatives, such as ELIXIR, to advance standardization and community-driven development of automated PBPK modeling workflows.

Název v anglickém jazyce

Response to Letter to Editor by A. Derbalah et al.: the role of automation in enhancing reproducibility and interoperability of PBPK models

Popis výsledku anglicky

This correspondence highlights the role of automation in physiologically based pharmacokinetic (PBPK) modeling, particularly for complex biologics models. It references the approaches of Sepp et al. (2019) and Liu et al. (2024), who implemented automated code generation using MATLAB and the Ubiquity R-package, respectively, to manage multi-compartment tissue models including vascular, endothelial, endosomal, and interstitial sub-compartments. Automation improves model accessibility, reproducibility, and error reduction, especially for large-scale models, while manual scripting remains valuable for smaller models, teaching, and understanding model mechanics. The authors emphasize the potential of open collaborative initiatives, such as ELIXIR, to advance standardization and community-driven development of automated PBPK modeling workflows.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10609 - Biochemical research methods

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Briefings in Bioinformatics

ISSN

1467-5463

e-ISSN

1477-4054

Svazek periodika

26

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

2

Strana od-do

nestránkováno

Kód UT WoS článku

001417203500001

EID výsledku v databázi Scopus

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