August 11, 2021The new platform is a part of Heta-based QSP modeling infrastructure[Moscow – 11.08.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, now presents HetaSimulator. It is a part of Heta project that embraces three components. HetaSimulator is an OpenSource simulation and parameters estimation platform for the Heta modeling language.
Heta language is a domain-specific modeling language (DSL) for dynamic quantitative models used in QSP and systems biology. Heta code and tabular formats can be translated into variety of formats like Simbiology, Matlab, DBSolve and many others.In general, the main purpose of the package is to establish the linkage between emerging QSP frameworks and fast computational methods. This package provides the simulation engines for the Heta-based models and modeling platforms to be run in Julia. A QSP model can be directly run using the HetaSimulator without additional tools. The ODE system in general form can also be run with HetaSimulator.The main features of the package are:- capabilities for finding parameters based on experimental datasets.- support for working with multiple models including simultaneous fitting.- parallel simulations facility including solution in clusters.- storage of components in unified format. - import of datasets and conditions from CSV/Excell tables.- full Heta standard support. Reading models from Heta-based platforms.- utilizing the facilities of OpenSource projects like Julia and SciML ecosystem.Evgeny Metelkin, PhD, Head of Development Department, comments on the project, “Heta infrastructure development is backed on years of our modeling experience and focus on the future that will turn computationally extensive tasks into routine modeling process. Initially, HetaSimulator was developed as a Julia language package. Our expectations have been met since Julia is one of the most rapidly evolving languages now. I believe that Heta project is the most functional and flexible environment to develop a modeling project or advisory applications”.The components of Heta infrastructure:- Heta standard: Series of specifications for QSP models and data.- Heta compiler: JavaScript library and console application for creating Heta-based platforms and transformation into popular formats.- Heta simulator: Julia based modeling engine for computationally extensive tasks.Oleg Demin, PhD, CEO of InSysBio, highlights the significance of the innovation, “The launch of HetaSimulator is a crucial step of a strategic goal to build full circle QSP modeling infrastructure. Today we are able both to efficiently develop large-scale QSP platforms based on Heta approach and have tremendous capability for conducting multiple simulations, parameters identification and identifiability analysis. We hope that our OpenSource project will contribute to advanced modeling techniques development and stimulate feedback from modeling community”.About InSysBioInSysBio 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 120 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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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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