June 30, 2020
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.
Model description:
In addition to sub-model describing virus and pneumocyte life cycles InSysBio team has constructed a sub-model describing life cycle of macrophages. Now we present the scheme of the sub-model and quality of calibration against in vivo baseline data. The sub-model describes:
The model is preliminary calibrated against available in vitro data describing regulatory effects of cytokines/chemokines on cell dynamics and then finally calibrated against in vivo baseline data measured for healthy subjects.
To learn more about the model and detailed description of calibration, please, visit: https://github.com/insysbio/covid19-qsp-model
About InSysBio
InSysBio is a Quantitative Systems Pharmacology (QSP) company located in Moscow, Russia (INSYSBIO LLC) and Edinburgh, UK (INSYSBIO UK LIMITED). 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.
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28 Sep 2017 19:27
Computer model showed an optimal anti-amyloid treatment
Moscow, Russia, September 28, 2017. One must activate amyloid degradation as soon as possible to prevent the appearance of the protein plaques in brain under Alzheimer’s conditions. This conclusion was reached by scientists from the biotechnology company InSysBio, who created the first computer model of the disease. The final part of the work has been recently published in CPT: Pharmacometrics & Systems Pharmacology.
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