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

April 2022
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1. 25 Apr 2022 17:43 InSysBio's ASCPT 2022 Micro-Theater Session on YouTube InSysBio has published the videos of its presentation in frames of Micro-Theater Session at ASCPT 2022 Annual Meeting on InSysBio YouTube channel. Oleg Demin and Alexander Stepanov covered the topic of Online databases collecting and processing publicly available data that can help in calibration and validation of QSP models.
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