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Making PBPK models more reproducible in practice

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F24%3A00081574" target="_blank" >RIV/00159816:_____/24:00081574 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14310/24:00138646

  • Result on the web

    <a href="https://pmc.ncbi.nlm.nih.gov/articles/PMC11533111/" target="_blank" >https://pmc.ncbi.nlm.nih.gov/articles/PMC11533111/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/bib/bbae569" target="_blank" >10.1093/bib/bbae569</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Making PBPK models more reproducible in practice

  • Original language description

    Systems biology aims to understand living organisms through mathematically modeling their behaviors at different organizational levels, ranging from molecules to populations. Modeling involves several steps, from determining the model purpose to developing the mathematical model, implementing it computationally, simulating the model&apos;s behavior, evaluating, and refining the model. Importantly, model simulation results must be reproducible, ensuring that other researchers can obtain the same results after writing the code de novo and/or using different software tools. Guidelines to increase model reproducibility have been published. However, reproducibility remains a major challenge in this field. In this paper, we tackle this challenge for physiologically-based pharmacokinetic (PBPK) models, which represent the pharmacokinetics of chemicals following exposure in humans or animals. We summarize recommendations for PBPK model reporting that should apply during model development and implementation, in order to ensure model reproducibility and comprehensibility. We make a proposal aiming to harmonize abbreviations used in PBPK models. To illustrate these recommendations, we present an original and reproducible PBPK model code in MATLAB, alongside an example of MATLAB code converted to Systems Biology Markup Language format using MOCCASIN. As directions for future improvement, more tools to convert computational PBPK models from different software platforms into standard formats would increase the interoperability of these models. The application of other systems biology standards to PBPK models is encouraged. This work is the result of an interdisciplinary collaboration involving the ELIXIR systems biology community. More interdisciplinary collaborations like this would facilitate further harmonization and application of good modeling practices in different systems biology fields.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Briefings in Bioinformatics

  • ISSN

    1467-5463

  • e-ISSN

    1477-4054

  • Volume of the periodical

    25

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    13

  • Pages from-to

  • UT code for WoS article

    001347425400001

  • EID of the result in the Scopus database