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PhysiPKPD: A pharmacokinetics and pharmacodynamics module for PhysiCell

Daniel Bergman, Lauren Marazzi, Mukti Chowkwale, Deepa Maheshvare M, Supriya Bidanta, Tarunendu Mapder, Jialun Li
doi: https://doi.org/10.1101/2022.09.12.507681
Daniel Bergman
1Department of Mathematics, University of Michigan, Ann Arbor, MI 48109, USA
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  • For correspondence: bergmand@umich.edu
Lauren Marazzi
2Center for Quantitative Medicine, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
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Mukti Chowkwale
3Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
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Deepa Maheshvare M
4Department of Computational and Data Sciences, Indian Institute of Science, Bengaluru 560012, India
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Supriya Bidanta
5Indiana University, Bloomington, IN 47405, USA
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Tarunendu Mapder
6Quantitative Systems Pharmacology, Bristol-Myers Squibb, Princeton Lawrenceville, NJ, USA
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Jialun Li
7McGill University, Montréal, QC H3A 0G4, Canada
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Abstract

Pharmacokinetics and pharmacodynamics are key considerations in any study of molecular therapies. It is thus imperative to factor their effects in to any in silico model of biological tissue involving such therapies. Furthermore, creation of a standardized and flexible framework will benefit the community by increasing access to such modules and enhancing their communicability. PhysiCell is an open source physics-based cell simulator, i.e. a platform for modeling biological tissue, that is quickly being adopted and utilized by the mathematical biology community. We present here PhysiPKPD, an open source PhysiCell-based package that allows users to include PKPD in PhysiCell models.

Availability & Implementation The source code for PhysiPKPD is located here: https://github.com/drbergman/PhysiPKPD.

Competing Interest Statement

TM is an employee of Bristol-Myers Squibb.

  • List of abbreviations

    ABM
    agent-based model
    MOA
    mechanism-of-action
    PD
    pharmacodynamics
    PK
    pharamcokinetics
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    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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    Posted September 15, 2022.
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    PhysiPKPD: A pharmacokinetics and pharmacodynamics module for PhysiCell
    Daniel Bergman, Lauren Marazzi, Mukti Chowkwale, Deepa Maheshvare M, Supriya Bidanta, Tarunendu Mapder, Jialun Li
    bioRxiv 2022.09.12.507681; doi: https://doi.org/10.1101/2022.09.12.507681
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    PhysiPKPD: A pharmacokinetics and pharmacodynamics module for PhysiCell
    Daniel Bergman, Lauren Marazzi, Mukti Chowkwale, Deepa Maheshvare M, Supriya Bidanta, Tarunendu Mapder, Jialun Li
    bioRxiv 2022.09.12.507681; doi: https://doi.org/10.1101/2022.09.12.507681

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