[Moscow – 16.12.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, now presents its new QSP modeling tool, fIVE DB. The name of the database derives from In Vitro Experiments DataBase (fIVE DB). fIVE DB is a repository of kinetic data for Systems Biology Modeling. Its purpose is to facilitate calibration of biomodels based on in vitro data.
fIVE DB was initially presented in frames of Twelfth American Conference on Pharmacometrics (ACoP12). Alexander Stepanov, Head of the new project highlights, “We consider that the information provided by fIVE DB allows to boost and facilitate parameters identification for development of QSP models”. fIVE DB contains experimental datasets manually extracted from published literature and converted into kinetic parameters that describe cellular processes such as migration, proliferation, differentiation, death and secretion of cellular products. fIVE DB is being constantly expanded to include new in vitro experiments and effector regulation network.
fIVE DB stores kinetic parameters (kbase, Emax, Imax, EC50, IC50 etc.) and its experimental context. An approach for translating in vitro and ex vivo experiments into kinetic constants is developed by InSysBio. fIVE DB is designed to be searched for kinetic data based on the cell type, reactions, effectors and modifiers, or for their various combinations. Users can browse and search the content of the repository, and download results in CSV format. Moreover, data collected in fIVE DB provides a good start point for model calibration.
Key features of fIVE DB:
• Search by cell or by process type;
• The query may include effector (activator or inhibitor) or effector’s modifier, type of kinetic constant;
• Table/CSV format representation of the search results.
InSysBio team has developed its own QSP infrastructure that includes both services and software products. However, its further advancement and extension is underway. The launch of fIVE DB is a new step to provide QSP community with cutting-edge work environment and make modeling process more efficient for both external and internal modelers. More information about fIVE DB can be found at 5db.insysbio.com.
High five!
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 Jul 2017 18:49
To predict unpredictable: a platform for modeling of the high-selective oncology drugs was created
Moscow, Russia, July 14, 2017. The scientists from BIND RUS and InSysBio (www.insysbio.ru) published a joint research of the new class of anti-oncology treatment in the Journal of Controlled Release. Unique nanoparticles enriched with medications can deliver its content targeted to the tumor site, and the parameters of their effectiveness are programmed during the forming phase.
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25 Jul 2017 13:50
InSysBio LLC Announce Renewal of Agreement with ASTEX Pharmaceuticals Inc.
Moscow, Russia, July 25, 2017 – InSysBio LLC (www.insysbio.ru), one of the pioneers in Quantitative Systems Pharmacology (QSP) modeling and simulation for drug development, announced today a renewal of multi-year Master Service Agreement with ASTEX Pharmaceuticals, Inc.
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25 Jul 2017 17:37
InSysBio will present at the American Conference on Pharmacometrics (ACoP8)!
Moscow, Russia, July 26, 2017. - Event announcement. This year the scientific team of InSysBio will make 9 poster presentations in conjunction with leading pharmaceutical companies at ACoP8. Also at the special session "QSP Modular design - Approaches to speed up the QSP model development" Oleg Demin Jr will hold a workshop on modeling with the Immune Response Template (IRT) platform.
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