June 8, 2020
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.
Model description:
InSysBio team has developed the first version of sub-model which describes virus and host cell life cycles. Scheme of the sub-model was presented a week ago. The model represents infection of alveolar cell type II (ATII pneumocytes type II) with SARS-CoV-2 via binding to ACE2 located on the cell surface. Virus-ACE2 complex is internalized with subsequent virus penetration to cytoplasm, uncoating, replication, assembling of newly produced viral particles and their release. Model is preliminary calibrated against available data displaying lung physiology, SARS-CoV-2 structure, in vitro data describing ACE2 binding to Spike protein, in vivo data describing ATII life cycle in healthy subjects etc.
Immune Response was introduced in empiric way as was covered in materials available at https://github.com/insysbio/covid19-qsp-model
Results:
(1) Model allows to reproduce average data on:
(2) Model simulations pushes us to conclude that:
Limitations of the version of the sub-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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14 Jan 2021 14:28
InSysBio to publish the new article on identifiability analysis in PLOS Computational Biology
[Moscow – 11.01.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, has published its recent scientific research on identifiability in PLOS Computational Biology.
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26 Jan 2021 13:14
InSysBio to announce the upgrade of its SbmlViewer application to version 0.2.7
[Moscow – 26.01.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, launces the new version of its SbmlViewer open project. Generally, SbmlViewer represents a tool for fast and easy reading of biological models written in SBML format.
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