October 6, 2020
DBSolveOptimum 2020 provides extended opportunities for QSP modeling
[Moscow, Russia – 06.10.2020] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, releases the new version of mathematical simulation workbench DBSolveOptimum 2020. It represents a significantly advanced and extended successor of the well-known simulation software DBSolveOptimum described in the paper [PMID 20698988] published in 2010. DBSolve is a user friendly simulation software package that enables to simplify the development, calibration and analysis of QSP models.
Actually, DBSolveOptimum 2020 embraces significant modifications in comparison with its previous version (developed in 2010). This upgrade allows to better fit to reality of QSP modeling and to meet requests of developing modelers. First of all, DBSolve was extended by three new methods enabling to develop QSP models in collaborative projects more efficiently, namely:
DBSolveOptimum 2020 interface has become more user-friendly due to the exclusion of two methods (Implicit solver and Bifurcation analysis) which are limitedly applicable in QSP modeling. Moreover, set of R scripts called “dbs-package” was developed in order to provide extended facilities for analysis of simulations performed with DBSolve. The dbs-package allows to perform: (1) the creation and analysis of DBsolveOptimum inputs and outputs for multiple simulations and statistical analysis, (2) the import/export DBSolveOptimum model and data files from/to different formats.
Another significant update concerns the capability of DBSolve to simulate large scale QSP platforms. DBSolveOptimum 2020 is enforced to simulate models including up to 2500 ODE variables and/or rate laws. This is up to 5 times higher than corresponding limitations of the previous version of DBSolve.
Additionally, some bugs of the previous version have been corrected. Nail Gizzatkulov, Head of DBSolve development team, comments on it, “We have significantly upgraded DBSolve in accordance with multiple requests of InSysBio modelers. This allowed us to make the simulation package more focused on QSP modeling and more comfortable for QSP modelers”.
Application of DBSolveOptimum 2020 together with other software tools developed by InSysBio (IRT and CYTOCON databases, heta language and heta compiler) allows to simplify routine work on QSP model development and calibration.
For more information about DBSolveOptimum 2020, please, visit https://sourceforge.net/projects/dbsolve/
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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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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