Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis Tools
Cancer treatment and pharmaceutical development require targeted treatment and less toxic therapeutic intervention to achieve real progress against this disease. In this scenario, nanomedicine emerged as a reliable tool to improve drug pharmacokinetics and to translate to the clinical biologics base...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | International Journal of Molecular Sciences |
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| Online Access: | https://www.mdpi.com/1422-0067/23/20/12560 |
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| author | Elena O. Kutumova Ilya R. Akberdin Ilya N. Kiselev Ruslan N. Sharipov Vera S. Egorova Anastasiia O. Syrocheva Alessandro Parodi Andrey A. Zamyatnin Fedor A. Kolpakov |
| author_facet | Elena O. Kutumova Ilya R. Akberdin Ilya N. Kiselev Ruslan N. Sharipov Vera S. Egorova Anastasiia O. Syrocheva Alessandro Parodi Andrey A. Zamyatnin Fedor A. Kolpakov |
| author_sort | Elena O. Kutumova |
| collection | DOAJ |
| description | Cancer treatment and pharmaceutical development require targeted treatment and less toxic therapeutic intervention to achieve real progress against this disease. In this scenario, nanomedicine emerged as a reliable tool to improve drug pharmacokinetics and to translate to the clinical biologics based on large molecules. However, the ability of our body to recognize foreign objects together with carrier transport heterogeneity derived from the combination of particle physical and chemical properties, payload and surface modification, make the designing of effective carriers very difficult. In this scenario, physiologically based pharmacokinetic modeling can help to design the particles and eventually predict their ability to reach the target and treat the tumor. This effort is performed by scientists with specific expertise and skills and familiarity with artificial intelligence tools such as advanced software that are not usually in the “cords” of traditional medical or material researchers. The goal of this review was to highlight the advantages that computational modeling could provide to nanomedicine and bring together scientists with different background by portraying in the most simple way the work of computational developers through the description of the tools that they use to predict nanoparticle transport and tumor targeting in our body. |
| first_indexed | 2024-03-09T20:04:26Z |
| format | Article |
| id | doaj.art-010baf17b2084df1b736bbb6caccd5d0 |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-09T20:04:26Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-010baf17b2084df1b736bbb6caccd5d02023-11-24T00:33:29ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672022-10-0123201256010.3390/ijms232012560Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis ToolsElena O. Kutumova0Ilya R. Akberdin1Ilya N. Kiselev2Ruslan N. Sharipov3Vera S. Egorova4Anastasiia O. Syrocheva5Alessandro Parodi6Andrey A. Zamyatnin7Fedor A. Kolpakov8Scientific Center for Information Technologies and Artificial Intelligence, Sirius University of Science and Technology, 354340 Sochi, RussiaScientific Center for Information Technologies and Artificial Intelligence, Sirius University of Science and Technology, 354340 Sochi, RussiaScientific Center for Information Technologies and Artificial Intelligence, Sirius University of Science and Technology, 354340 Sochi, RussiaScientific Center for Information Technologies and Artificial Intelligence, Sirius University of Science and Technology, 354340 Sochi, RussiaScientific Center for Translational Medicine, Sirius University of Science and Technology, 354340 Sochi, RussiaScientific Center for Translational Medicine, Sirius University of Science and Technology, 354340 Sochi, RussiaScientific Center for Translational Medicine, Sirius University of Science and Technology, 354340 Sochi, RussiaScientific Center for Translational Medicine, Sirius University of Science and Technology, 354340 Sochi, RussiaScientific Center for Information Technologies and Artificial Intelligence, Sirius University of Science and Technology, 354340 Sochi, RussiaCancer treatment and pharmaceutical development require targeted treatment and less toxic therapeutic intervention to achieve real progress against this disease. In this scenario, nanomedicine emerged as a reliable tool to improve drug pharmacokinetics and to translate to the clinical biologics based on large molecules. However, the ability of our body to recognize foreign objects together with carrier transport heterogeneity derived from the combination of particle physical and chemical properties, payload and surface modification, make the designing of effective carriers very difficult. In this scenario, physiologically based pharmacokinetic modeling can help to design the particles and eventually predict their ability to reach the target and treat the tumor. This effort is performed by scientists with specific expertise and skills and familiarity with artificial intelligence tools such as advanced software that are not usually in the “cords” of traditional medical or material researchers. The goal of this review was to highlight the advantages that computational modeling could provide to nanomedicine and bring together scientists with different background by portraying in the most simple way the work of computational developers through the description of the tools that they use to predict nanoparticle transport and tumor targeting in our body.https://www.mdpi.com/1422-0067/23/20/12560nanoparticlesphysiologically based pharmacokinetic modelingsimulation softwareBioUML |
| spellingShingle | Elena O. Kutumova Ilya R. Akberdin Ilya N. Kiselev Ruslan N. Sharipov Vera S. Egorova Anastasiia O. Syrocheva Alessandro Parodi Andrey A. Zamyatnin Fedor A. Kolpakov Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis Tools International Journal of Molecular Sciences nanoparticles physiologically based pharmacokinetic modeling simulation software BioUML |
| title | Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis Tools |
| title_full | Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis Tools |
| title_fullStr | Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis Tools |
| title_full_unstemmed | Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis Tools |
| title_short | Physiologically Based Pharmacokinetic Modeling of Nanoparticle Biodistribution: A Review of Existing Models, Simulation Software, and Data Analysis Tools |
| title_sort | physiologically based pharmacokinetic modeling of nanoparticle biodistribution a review of existing models simulation software and data analysis tools |
| topic | nanoparticles physiologically based pharmacokinetic modeling simulation software BioUML |
| url | https://www.mdpi.com/1422-0067/23/20/12560 |
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