InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, releases a new version of LikelihoodProfiler.jl. LikelihoodProfiler represents a unified Julia package that can be used for practical identifiability analysis for complex computationally demanding QSP models.
Initially, LikelihoodProfiler.jl included a method (CICO) for estimating confidence intervals (CI) and assessing the practical identifiability of model parameters using the profile likelihood approach. Now LikelihoodProfiler package provides various state-of-the-art methods for profile likelihood analysis, including optimization-based and integration-based profiles, CI endpoints search, and more. These methods are now unified under a new interface, making it easier for users to switch between them. The results of LikelihoodProfiler.jl analysis can be used to further reduce the complexity and eliminate model’s uncertainty by implementing identifiable parametrizations and model reduction techniques.
Ivan Borisov, Senior Software Developer, comments on the new version of LikelihoodProfiler.jl, “This release marks the first version of the revamped package. We plan to introduce additional methods, improve interfaces, enhance documentation, and more to make the package more valuable to the community.”
LikelihoodProfiler package is open-source and freely available on GitHub: https://github.com/insysbio/LikelihoodProfiler.jl
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 cutting-edge 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 and innovative biotech companies. For more information about InSysBio, its solutions and services, visit www.insysbio.com
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04 Sep 2024 16:07
Now B cells model reflects the current views on the processes
InSysBio launches Immune Response Template (IRT) version 3.6.3. IRT represents a QSP platform of immune system, simultaneously, being a tool for development of models related to immune system
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10 Sep 2024 18:36
InSysBio team to publish the new article in PSPJournal
The new article "Quantitative systems pharmacology model of α-synuclein pathology in Parkinson's disease-like mouse for investigation of passive immunotherapy mechanisms" by Olga Ivanova and Tatiana Karelina was published in PSPJournal at the end of August 2024
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11 Sep 2024 15:25
InSysBio to take part in ACoP 2024
InSysBio announces its participation in the 15th American Conference on Pharmacometrics (ACoP). Oleg Demin Jr, Scientific Director, Oncology & Immuno-Oncology, will be a co-chair and speaker of the session "Advancing QSP: From Virtual Patient To Digital Twin". InSysBio team is going to present its modeling services & software to optimize drug development at the Booth #11 and 9 posters in frames of the Conference
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