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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14 Jul 2017 18:49
To predict unpredictable: a platform for modeling of the high-selective oncology drugs was created
Moscow, Russia, July 14, 2017. The scientists from BIND RUS and InSysBio (www.insysbio.ru) published a joint research of the new class of anti-oncology treatment in the Journal of Controlled Release. Unique nanoparticles enriched with medications can deliver its content targeted to the tumor site, and the parameters of their effectiveness are programmed during the forming phase.
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25 Jul 2017 13:50
InSysBio LLC Announce Renewal of Agreement with ASTEX Pharmaceuticals Inc.
Moscow, Russia, July 25, 2017 – InSysBio LLC (www.insysbio.ru), one of the pioneers in Quantitative Systems Pharmacology (QSP) modeling and simulation for drug development, announced today a renewal of multi-year Master Service Agreement with ASTEX Pharmaceuticals, Inc.
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25 Jul 2017 17:37
InSysBio will present at the American Conference on Pharmacometrics (ACoP8)!
Moscow, Russia, July 26, 2017. - Event announcement. This year the scientific team of InSysBio will make 9 poster presentations in conjunction with leading pharmaceutical companies at ACoP8. Also at the special session "QSP Modular design - Approaches to speed up the QSP model development" Oleg Demin Jr will hold a workshop on modeling with the Immune Response Template (IRT) platform.
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