[Limassol – 14.12.2022] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, launches the Oncology version of Immune Response Template (IRT). IRT in Oncology represents a QSP platform of immune system in cancer, simultaneously being a tool for development of QSP and mechanistic models related to tumor-specific immune response.
IRT is a part of InSysBio’s QSP software infrastructure being under constant development. The new IRT Onco version contains tumor and tumor-draining lymph node compartments that provide the opportunity to perform more accurate cancer modeling.
Initially, IRT is based on two main components. On the one hand, it is a database including a wide variety of features covering the immune system. On the other hand, it comprises Navigator that provides intuitive interface to interact with IRT Database. Thus, a modeler can apply calibrated sub-models exported from IRT as building blocks for particular purposes.
Veronika Musatova, Head of IRT development team, comments on the update, “Previously, IRT has been representing the immune system in general and now we have developed the version which is more eligible for immune response modeling in oncology projects. The initial Onco version describes core processes, and then we are going to include regulators of the processes and focus on parameters identification via the data obtained particularly from oncology research”.
IRT Onco version schemes include type of cells that involved in tumor immune response: different types of T cells, B cells, Dendritic cells, Natural killers, Macrophages, etc. Also, the platform covers the process of specific destruction of malignance cells by NK and CD8a cells. The core model of IRT Onco version currently embraces 311 cell processes describing reactions for 95 time dependent cell variables with 386 parameters. Moreover, complexes formation between 33 surface molecules species is described. Nearly 40% of equations parameters in the current version are identified by direct calculation or fitting.
List of IRT Onco main processes:
To learn the full content of Immune Response Template Onco, please visit irt.insysbio.com.
To get more information on any tool or leave your feedback, please feel free to contact us: support@insysbio.com
About InSysBio
InSysBio is a group of Quantitative Systems Pharmacology (QSP) companies located in Limassol, Cyprus (INSYSBIO CY Ltd), Edinburgh, UK (INSYSBIO UK LIMITED) and Moscow, Russia (INSYSBIO LLC). 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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10 Nov 2020 16:33
InSysBio to release Demo Version of Immune Response Template
[Moscow – 10.11.2020] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, presents the new access mode to Immune Response Template (IRT) version 3. Now any modeler can experience or get acquainted with IRT via Demo access without the necessity to purchase the license.
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12 Nov 2020 16:36
InSysBio to release CYTOCON DB Open version
CYTOCON DB Open is designed for free public use
[Moscow – 12.11.2020] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, has extended the variety of options to experience its CYTOCON DB with a new way. In general, the database allows to investigate the concentration of multiple species measured in different tissues of patients. Now InSysBio presents its public version entitled “CYTOCON DB Open”.
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27 Nov 2020 12:45
InSysBio to run Heta video tutorial on YouTube
InSysBio has recently launched weekly series on YouTube about the Heta language.
Heta is a modeling language for quantitative systems pharmacology and systems biology. Now InSysBio presents the tutorial consisting of short lessons that familiarize with Heta, describe its features and show examples.
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