SOFTWARE

November 25, 2019

InSysBio, a pioneer in Quantitative Systems Pharmacology (QSP), modeling and simulation for drug development, announced the launch of application ‘PK/RO simulator for anti-PD-1 mAbs’. The application is based on the model allowing to predict pharmacokinetics and target binding in human for therapeutic antibodies against PD-1 receptor.

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InSysBio published LikelihoodProfiler package for Identifiability Analysis

February 8, 2019

InSysBio, a pioneer in Quantitative Systems Pharmacology (QSP), modeling and simulation for drug development, announced a publication of LikelihoodProfiler package in the official Julia repository.

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InSysBio updates Immune Response Template online

November 26, 2018

InSysBio, a pioneer in Quantitative Systems Pharmacology (QSP) modeling and simulation for drug development, today announced a release of updated version of Immune Response Template (IRT) online. The main update in new 2.1.0 version is myeloid-derived suppressor cells (MDSCs). Published human in vitro and in vivo data were analyzed to reconstruct monocytic MDSCs (Mo-MDSCs) and granulocytic MDSCs (Gr-MDSCs) life cycles, derive equations and identify parameters.

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InSysBio launches Immune Response Template online

September 26, 2018

InSysBio, a pioneer in Quantitative Systems Pharmacology (QSP) modeling and simulation for drug development, today announced the launch of Immune Response Template (IRT) online. IRT is a QSP platform of human immune system and a tool for development of custom QSP models related to immune response.

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ISBM releases the updated version of Immune Response Template

Moscow, Russia - February 2, 2017. Institute for Systems Biology Moscow (ISBM) announced the recent update of the Immune Response Template (IRT) platform and its online demo. The project aimed to integrate and visualize available data on immune cells, cytokine, chemokines and other mediators interactions in human. IRT is a unique tool due to its focus on quantitative systems pharmacology (QSP) modeling. Using the platform modelers in pharmaceutical companies can strongly improve the drug R&D process.