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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02 Jun 2020 13:24
InSysBio to announce the launch of QSP model of COVID-19
The new open source project to be developed and updated Online
InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, announces the launch of its fundamentally new project in response to the ongoing global threat, the open source QSP model of COVID-19. In accordance with its mission, which is to assist pharmaceutical industry to speed up the delivery of the cure to patients, InSysBio team could not stay aside. Thus, the aim of the new project is to develop QSP model of COVID-19 describing virus and host cell life cycles, innate and adoptive immune response and possible therapeutic treatments.
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05 Jun 2020 15:04
InSysBio to present IRT Navigator 3
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.
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08 Jun 2020 15:30
InSysBio to perform the first step in development of COVID-19 QSP model
InSysBio has performed the first step in the direction of development of QSP model of COVID-19 describing virus and host cell life cycles, innate and adoptive immune response and possible therapeutic treatments.
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12 Jun 2020 16:45
InSysBio to release the new version of Cytocon DB 1.1.6.4
We are glad to announce the release of the new version of Cytocon DB 1.1.6.4. The DB was significantly extended with new data due to well-coordinated workflow of Cytocon DB team and its new members. Namely, 54 diseases, 24 tissues, 42 molecules, 24 cells and 3701 concentrations were introduced.
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17 Jun 2020 15:48
InSysBio to welcome its new team member Dr. Neil Benson
InSysBio announces the appointment of Dr. Neil Benson as Principal Consultant in area of business development
(Edinburgh-Moscow-16.06.2020) InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, is proud to announce its new team member Dr. Neil Benson! Dr. Benson has joined InSysBio as Principal Consultant in area of business development of both INSYSBIO LLC and INSYSBIO UK LIMITED. In his capacity as Principal Consultant to InSysBio, he will support further development of the outstanding IO and AD QSP offering of the company.
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22 Jun 2020 17:04
InSysBio team posters to be presented at AACR Virtual Annual Meeting II
AACR Virtual Annual Meeting II has begun! American Association for Cancer Research Annual Meeting is held virtually this year on June 22-24 due to COVID-19 spread. Today InSysBio team's posters were published on AACR website
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30 Jun 2020 15:45
InSysBio to present COVID-19 QSP model further development
InSysBio continues to move forward in COVID-19 QSP model development. Its aim is to describe virus and host cell life cycles, innate and adoptive immune response and possible therapeutic treatments.
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