October 24, 2018
InSysBio announces their participation at 19th International Conference on Systems Biology (ICSB 2018) to be held October 28th to November 1st, 2018 in Lyon, France. Two InSysBio posters will be presented:
“SBML viewer is a tool for transformation of systems biology models to human-readable format” by Viktoria Tkachenko and Evgeny Metelkin
in framework of Poster Session “Education for Systems Biologists. Novel methods and tools”
“An algorithm for practical identifiability analysis and confidence intervals evaluation based on constrained optimization” by Ivan Borisov and Evgeny Metelkin
in framework of Poster Session “Methodological developments for Systems Biology. Identifiability”
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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06 Nov 2018 17:27
Investigation of amyloid pathology mechanisms and prediction of clinical trial results using QSP model
InSysBio presents the video of Tatiana Karelina’s talk in framework of session “From translational PKPD models to quantitative system pharmacology in neurodegeneration drug development” at the 9th American Conference on Pharmacometrics (ACoP9):
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26 Nov 2018 14:03
InSysBio updates Immune Response Template online
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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