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.
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02 Jun 2020 13:24
InSysBio to announce the launch of QSP model of COVID-19
The new open source project to be developed and updated Online
InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, announces the launch of its fundamentally new project in response to the ongoing global threat, the open source QSP model of COVID-19. In accordance with its mission, which is to assist pharmaceutical industry to speed up the delivery of the cure to patients, InSysBio team could not stay aside. Thus, the aim of the new project is to develop QSP model of COVID-19 describing virus and host cell life cycles, innate and adoptive immune response and possible therapeutic treatments.
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05 Jun 2020 15:04
InSysBio to present IRT Navigator 3
InSysBio presents IRT Navigator 3 which is an application software providing intuitive interface to work with the Immune Response Template Database in accordance with the user’s needs. It supplies the navigation within the schemes and components and efficient development of QSP models based on IRT Database.
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08 Jun 2020 15:30
InSysBio to perform the first step in development of COVID-19 QSP model
InSysBio has performed the first step in the direction of development of QSP model of COVID-19 describing virus and host cell life cycles, innate and adoptive immune response and possible therapeutic treatments.
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12 Jun 2020 16:45
InSysBio to release the new version of Cytocon DB 1.1.6.4
We are glad to announce the release of the new version of Cytocon DB 1.1.6.4. The DB was significantly extended with new data due to well-coordinated workflow of Cytocon DB team and its new members. Namely, 54 diseases, 24 tissues, 42 molecules, 24 cells and 3701 concentrations were introduced.
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17 Jun 2020 15:48
InSysBio to welcome its new team member Dr. Neil Benson
InSysBio announces the appointment of Dr. Neil Benson as Principal Consultant in area of business development
(Edinburgh-Moscow-16.06.2020) InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, is proud to announce its new team member Dr. Neil Benson! Dr. Benson has joined InSysBio as Principal Consultant in area of business development of both INSYSBIO LLC and INSYSBIO UK LIMITED. In his capacity as Principal Consultant to InSysBio, he will support further development of the outstanding IO and AD QSP offering of the company.
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22 Jun 2020 17:04
InSysBio team posters to be presented at AACR Virtual Annual Meeting II
AACR Virtual Annual Meeting II has begun! American Association for Cancer Research Annual Meeting is held virtually this year on June 22-24 due to COVID-19 spread. Today InSysBio team's posters were published on AACR website
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30 Jun 2020 15:45
InSysBio to present COVID-19 QSP model further development
InSysBio continues to move forward in COVID-19 QSP model development. Its aim is to describe virus and host cell life cycles, innate and adoptive immune response and possible therapeutic treatments.
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