InSysBio to release Demo Version of Immune Response Template

NEWS
Press-Release
November 10, 2020

November 10, 2020

[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.
Generally, IRT is an efficient and useful tool to boost and facilitate the development of QSP models in immunology and immuno-oncology therapeutic areas. By this point IRT has been expanded to a fully-fledged database that embraces a wide range of reactions and species. However, InSysBio constantly goes further in its software advancement.
Demo access to IRT version 3 provides the opportunity to fully utilize 5 schemes, 2 cell passports, 2 cytokine passports and 1 immunologic synapse: IDEC, Th17, CCL20, IL17, Th0:IDECa. All the functionality of IRT Navigator is also available within the Demo version.

The instruction to get demo access to IRT version 3:

  • log in to your user account* on the irt.insysbio.com,
  • click on the user account pictogram,
  • choose IRT 3 Demo (if you haven’t had access to previous versions, the demo will be uploaded by default).

*If you don’t have an account yet:

  • choose ‘Sign in’ on the right upper corner of irt.insysbio.com,
  • click on the “Sign up” link on the bottom of the form and follow the instructions,
  • after verification of your email, you will be able to log in to the account using your email and password. Access to the IRT v.3 Demo will be provided by default.

About Immune Response Template (IRT):

IRT is a Quantitative Systems Pharmacology (QSP) platform of immune system and tool for development of QSP and mechanistic models related to immune response.
IRT consist of IRT Database and IRT Navigator. The core of IRT Database is IRT Core Model, a QSP model of immune system. IRT Navigator is an application software providing intuitive interface to work with IRT Database. IRT is an innovative tool allowing users to select all or any reactions and species from IRT Core Model and download it. To get more information please, visit: irt.insysbio.com

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 120 completed projects in collaboration with leaders of pharmaceutical industry. For more information about InSysBio, its solutions and services, visit www.insysbio.com.

July 2022
MoTuWeThFrSaSu
    
1
2
3
4
5
6
7
8
9
10
11
1. 11 Jul 2022 16:05 InSysBio team to publish the new article in Journal of Pharmacokinetics and Pharmacodynamics The new article "Application of different approaches to generate virtual patient populations for the quantitative systems pharmacology model of erythropoiesis" by Galina Kolesova, Alexander Stepanov, Galina Lebedeva and Oleg Demin has been recently published.
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
1. 27 Jul 2022 12:37 InSysBio to present posters at AAIC 2022 InSysBio announces its participation in AAIC 2022 (Online). Alzheimer’s Association International Conference is held July 31 – August 4, 2022 in San Diego, USA and Online. InSysBio Neurodegeneration Diseases team presents three posters within its frames
28
29
30
31
Upcoming Events
Tags
Latest News
22.02
14th InSysBio’s Annual Internal Scientific Meeting
24.01
InSysBio to present the new Plugin for Sublime Text and Heta compiler Online
07.12
InSysBio to release public beta of fIVE Calculator
06.04
InSysBio to release Immune Response Template 3.6.2 for QSP modeling
16.01
InSysBio team to publish the new article “Receptor occupancy assessment and interpretation in terms of quantitative systems pharmacology: nivolumab case study”