InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, launches the new Plugin for Sublime Text editor to highlight Heta language code. Heta project is InSysBio’s initiative for the development of infrastructure for modeling in pharmacology and systems biology. The project also summarizes best practices and InSysBio’s experience in modeling of dynamical systems: systems biology, PK/PD, QSP as well as implementation of software development techniques in modeling routine.

Now Sublime Text supports Heta language due to the new Plugin developed by InSysBio Software Development team. It provides an opportunity for Heta code markup and highlighting in the popular text editor Sublime Text. The Plugin is available in the official repository: https://packagecontrol.io/packages/Heta

Heta infrastructure embraces three components:

• 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.
• HetaSimulator: Julia based modeling engine for computationally extensive tasks. HetaSimulator is an OpenSource simulation and parameters estimation platform for 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.

Recently, Heta compiler Online has been presented to simplify user experience. Now it is possible to try Heta compiler without installation or any other additional steps here: https://heta-online.insysbio.com/

About InSysBio

InSysBio is a group of Quantitative Systems Pharmacology (QSP) companies located in Limassol, Cyprus (INSYSBIO CY Ltd) 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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