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.
Within the framework of this cooperation, InSysBio provides priority support for ASTEX research. This gives an opportunity to access the best practices of InSysBio in the field of QSP modeling, as well as significantly reduce the time of initiation and execution of projects.
The renewal of the ASTEX agreement once again shows that QSP is a necessary technology to support discovery and development of new drugs in oncology and immuno-oncology therapeutic areas. Such an approach improves all stages of the development: it helps to make strategic GO/ NO GO decisions for research, prioritize targets and compounds, interpret results from animal studies and select optimal design(s) for clinical trials.
"We are very pleased ASTEX has chosen to renew our multi-year Master Service Agreement. It underscores that our partners are satisfied with our services and would like to extend this fruitful and reliable collaboration," said Founder and CEO Oleg Demin, PhD.
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19 May 2021 16:52
InSysBio to upgrade its SbmlViewer application
[Moscow – 19.05.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, launches the new version (0.3.0) of its SbmlViewer open project. Generally, SbmlViewer is a tool for fast and easy reading and transformation of biological models written in SBML format.
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25 May 2021 17:38
InSysBio to take part in SMB 2021
InSysBio announces its participation in Society of Mathematical Biology Annual Meeting (SMB 2021) which is to be held virtually this year June 13-17, 2021. InSysBio team is going to present 4 posters and Oleg Demin Jr is going to give a presentation "Implementation of variability or uncertainty in parameter values to validate QSP models." and Ivan Borisov is going to give a talk "Constrained Optimization Approach to Predictability Analysis in Bio-Mathematical Modeling."
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