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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02 Aug 2021 16:17
InSysBio to take part in PharmSci360 2021
InSysBio announces its participation in AAPS 2021 PHARMSCI 360 which is to be held in Pennsylvania Convention Center, Philadelphia, PA, and Online 17-20 October, 2021. InSysBio team is going to present the update at the Virtual Booth (VB1) and 2 posters in frames of the Conference
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06 Aug 2021 15:38
InSysBio to participate in Biomarkers for Alzheimer’s Disease Summit
InSysBio will take part in Annual Biomarkers for Alzheimer’s Disease Summit, Digital Event which is going to be held August 24-26, 2021. InSysBio will present its Neurodegeneration modeling issues and Alzheimer’s Disease Platform update at its Virtual Booth! Moreover, Tatiana Karelina, Head of Neurodegenerative Diseases Modeling Team, will give a talk
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11 Aug 2021 15:50
InSysBio to launch its OpenSource HetaSimulator project
The new platform is a part of Heta-based QSP modeling infrastructure
[Moscow – 11.08.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, now presents HetaSimulator. It is a part of Heta project that embraces three components. HetaSimulator is an OpenSource simulation and parameters estimation platform for the Heta modeling language.
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18 Aug 2021 10:49
InSysBio to take part in PAGE 2021
InSysBio announces its participation in PAGE 2021 Online meeting which is to be held on the 2nd, 3rd, 6th, and 7th of September 2021. InSysBio team is going to present its latest development at the Virtual Exhibition e-booth and six posters
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