To predict unpredictable: a platform for modeling of the high-selective oncology drugs was created

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July 14, 2017

Moscow, Russia, July 14, 2017. The scientists from BIND RUS and InSysBio (www.insysbio.ru) published a joint research of the new class of anti-oncology treatment in the Journal of Controlled Release. Unique nanoparticles enriched with medications can deliver its content targeted to the tumor site, and the parameters of their effectiveness are programmed during the forming phase. The mathematical model developed in InSysBio, described how exactly such a non-standard composition will accumulate in various tissues of the body.

Slow release of drugs in chemotherapy is an important factor that reduces the toxic effects of active substances on healthy cells, since the simultaneous admission of high concentrations harms the body. The BIND RUS company investigated nanoparticles consisting of a special polymer. The process of particles assembly was designed so that one can control their size and level of saturation with the drug. On the surface of the particles special protein markers that "recognize" receptors on cancer cells were placed. All this allowed to program a site and speed of the content release once nanoparticles were injected into the patient body. Thus, the medication doesn’t hit the blood, and can be slowly released into the tissues of the affected organ, providing a prolonged effect with lower doses of chemotherapy.

Absolutely unique properties made nanoparticles in some sense unpredictable for pharmacologists. This has complicated the selection of doses for clinical trials and future therapeutic applications. Unlike most drugs, the pharmacokinetics of which is simple and well-studied, the use of nanoparticles forced researchers to consider simultaneously three processes: the distribution of nanoparticles in the body, the distribution of the chemotherapeutic drug and its transition from an encapsulated state into an external environment. Moreover, studies have shown that the high toxicity of the drug effects on the speed distribution of the nanoparticles. The developers of new therapies encountered the question: how to predict a compound concentration in a particular organ for such a complex system?

The solution was found by means of mathematical modeling conducted by Evgeny Metelkin group from the InSysBio company. The team worked with a huge number of unique experimental data provided by BIND RUS, including several types of nanoparticles, programmed for different profiles of release. For modeling such a system, was needed information about the change of drug concentration in vitro and the same data for different tissues and organs, measured in rodents. Collaboration of the theoretical and experimental groups helped to develop the first prototype of the decision-making system for nanoparticles to optimize the release profile and the selection of doses for the new class of drugs.

https://doi.org/10.1016/j.jconrel.2017.06.006

March 2020
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1. 03 Mar 2020 12:25 13th InSysBio Annual Internal Scientific Meeting 26-28 February 2020 InSysBio QSP-company held its 13th Annual Internal Scientific Meeting. InSysBio team presented the results of 2019 year professional progress. Every member demonstrated their personal achievements and shared the plans for the future development. Oleg Demin, InSysBio CEO and founder, summarized all the company’s advancement of the year 2019.
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1. 10 Mar 2020 12:48 InSysBio to share the news from QSPC2020 management Today we have received the concerning news from QSPC2020 organizers about the cancellation of the conference in response to COVID-19 outbreak continuation. Quantitative Systems Pharmacology Conference 2020 was planned to be held in April 22-24, 2020 Leiden, The Netherlands. InSysBio team was prepared to present 10 posters
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