News & Events

InSysBio presents IRT Navigator 3 which is an application software providing intuitive interface to work with the Immune Response Template Database in accordance with the user’s needs. It supplies the navigation within the schemes and components and efficient development of QSP models based on IRT Database.

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.

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.

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.

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.

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.