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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03 Aug 2020 16:00
InSysBio to share new data in frames of its Open Source QSP model of COVID-19
InSysBio has received a new set of results in framework of development of QSP model of COVID-19 describing virus and host cell life cycles, innate and adoptive immune response and possible therapeutic treatments.
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06 Aug 2020 17:51
InSysBio to update its Cytocon DB and to present version 1.2.6.6
InSysBio is glad to present Cytocon DB 1.2.6.6! Cytocon DB team has reviewed 39 articles to introduce new data. It should be outlined that the total number of concentrations within the Database has already exceeded 10 thousand!
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20 Aug 2020 17:18
InSysBio to present the new version of Immune Response Template
IRT 3.2.0 acquires new models and extended annotations
(Moscow – 20.08.2020) InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, presents the new version of its Immune Response Template (IRT). 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 developed into a fully-fledged database but InSysBio constantly goes further in its software advancement.
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