[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
← | June 2020 | → | ||||
Mo | Tu | We | Th | Fr | Sa | Su |
---|---|---|---|---|---|---|
1
|
2
1.
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.
|
3
|
4
|
5
1.
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.
|
6
|
7
|
8
1.
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.
|
9
|
10
|
11
|
12
1.
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.
|
13
|
14
|
15
|
16
|
17
1.
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.
|
18
|
19
|
20
|
21
|
22
1.
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
|
23
|
24
|
25
|
26
|
27
|
28
|
29
|
30
1.
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.
|