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Non-Markovian Population Dynamics: Does it Help to Optimize the Chemotherapeutic Strategy?

A non-Markovian theory of population dynamics is to simulate the anti-cancer drug distribution between malignant and the hosting normal cell pools. The model takes into account both the cell life span and the proliferation rate differences. This new simulation approach looks promising for its potent...

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Detalles Bibliográficos
Autores principales: Kuznetsov, Dmitry A., Roumiantsev, Sergey A., Fallahi, Majid, Amirshahi, Nima, Makarov, Andrey V., Kardashova, Karina S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Master Publishing Group 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3614726/
https://www.ncbi.nlm.nih.gov/pubmed/23675179
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author Kuznetsov, Dmitry A.
Roumiantsev, Sergey A.
Fallahi, Majid
Amirshahi, Nima
Makarov, Andrey V.
Kardashova, Karina S.
author_facet Kuznetsov, Dmitry A.
Roumiantsev, Sergey A.
Fallahi, Majid
Amirshahi, Nima
Makarov, Andrey V.
Kardashova, Karina S.
author_sort Kuznetsov, Dmitry A.
collection PubMed
description A non-Markovian theory of population dynamics is to simulate the anti-cancer drug distribution between malignant and the hosting normal cell pools. The model takes into account both the cell life span and the proliferation rate differences. This new simulation approach looks promising for its potential to optimize a chemotherapeutic strategy by choosing the scheme with a higher degree of the drug-tumor selectivity. The pre-test designed simulation mode fits nicely the experimental data on Porphylleren-MC16 (PMC16) pharmacokinetics patterns including the allometric plots revealed for this novel medicinal nanoparticle possessing some anti-cancer potential and intervening into the oxygen-independent ATP production mechanisms.
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spelling pubmed-36147262013-05-01 Non-Markovian Population Dynamics: Does it Help to Optimize the Chemotherapeutic Strategy? Kuznetsov, Dmitry A. Roumiantsev, Sergey A. Fallahi, Majid Amirshahi, Nima Makarov, Andrey V. Kardashova, Karina S. Int J Biomed Sci Case Report A non-Markovian theory of population dynamics is to simulate the anti-cancer drug distribution between malignant and the hosting normal cell pools. The model takes into account both the cell life span and the proliferation rate differences. This new simulation approach looks promising for its potential to optimize a chemotherapeutic strategy by choosing the scheme with a higher degree of the drug-tumor selectivity. The pre-test designed simulation mode fits nicely the experimental data on Porphylleren-MC16 (PMC16) pharmacokinetics patterns including the allometric plots revealed for this novel medicinal nanoparticle possessing some anti-cancer potential and intervening into the oxygen-independent ATP production mechanisms. Master Publishing Group 2010-03 /pmc/articles/PMC3614726/ /pubmed/23675179 Text en © Dmitry A. Kuznetsov et al. Licensee Master Publishing Group http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.5/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Case Report
Kuznetsov, Dmitry A.
Roumiantsev, Sergey A.
Fallahi, Majid
Amirshahi, Nima
Makarov, Andrey V.
Kardashova, Karina S.
Non-Markovian Population Dynamics: Does it Help to Optimize the Chemotherapeutic Strategy?
title Non-Markovian Population Dynamics: Does it Help to Optimize the Chemotherapeutic Strategy?
title_full Non-Markovian Population Dynamics: Does it Help to Optimize the Chemotherapeutic Strategy?
title_fullStr Non-Markovian Population Dynamics: Does it Help to Optimize the Chemotherapeutic Strategy?
title_full_unstemmed Non-Markovian Population Dynamics: Does it Help to Optimize the Chemotherapeutic Strategy?
title_short Non-Markovian Population Dynamics: Does it Help to Optimize the Chemotherapeutic Strategy?
title_sort non-markovian population dynamics: does it help to optimize the chemotherapeutic strategy?
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3614726/
https://www.ncbi.nlm.nih.gov/pubmed/23675179
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