InSysBio team to publish the new article “Receptor occupancy assessment and interpretation in terms of quantitative systems pharmacology: nivolumab case study”

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January 16, 2023

January 16, 2023

The new article “Receptor occupancy assessment and interpretation in terms of quantitative systems pharmacology: nivolumab case study” by Dmitry Shchelokov and Oleg Demin Jr was published in mAbs journal at the end of December 2022.

Oleg Demin Jr comments on the article, “Mechanistic description of biomarkers and endpoints is necessary for accurate analysis of the clinical trial results and prediction of these outcomes by QSP modeling. One of these endpoints is target receptor occupancy which is measured in early clinical trials for therapeutic antibodies including monoclonal and bispecific ones, etc. In the published article we have shown that the method of target occupancy measurement can affect the results of clinical trials and their interpretation”. 

About InSysBio

InSysBio is a group of Quantitative Systems Pharmacology (QSP) companies located in Edinburgh, UK (INSYSBIO UK LIMITED), Limassol, Cyprus (INSYSBIO CY Ltd) and Moscow, Russia (INSYSBIO LLC). InSysBio was founded in 2004 and has an extensive track record of helping pharmaceutical companies to make right decisions on the critical stages of drug research and development by application of QSP modeling. InSysBio’s innovative QSP approach has already become a part of the drug development process implemented by our strategic partners: there are more than 100 completed projects in collaboration with leaders of pharmaceutical industry. For more information about InSysBio, its solutions and services, visit www.insysbio.com

July 2020
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1. 06 Jul 2020 17:37 InSysBio to announce the launch of its new tool Heta compiler Heta compiler has been published on GitHub as an OpenSource (Moscow-06.07.2020) InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, presents Heta compiler which is a tool for the development of Quantitative Systems Pharmacology and Systems Biology platforms. Particularly, it allows combining modules written in different formats like: Heta language code, Excel sheets, JSON, YAML formatted structures, SBML and transforming them into the dynamic models of different formats.
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1. 27 Jul 2020 11:45 InSysBio to evolve its Open Source QSP model of COVID-19 InSysBio has presented a new portion of results in the framework of development of COVID-19 QSP model.
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