January 11, 2021
[Moscow – 11.01.2021] InSysBio, one of the world’s pioneers of Quantitative Systems Pharmacology (QSP) modeling, has published its recent scientific research on identifiability in PLOS Computational Biology. The article, named “Confidence intervals by constrained optimization—An algorithm and software package for practical identifiability analysis in systems biology” was developed by the researchers Ivan Borisov and Evgeny Metelkin.
The present article contributes an algorithm Confidence Intervals by Constraint Optimization (CICO) based on profile likelihood, aimed to speed-up confidence intervals estimation and reduce computational cost. The numerical implementation of the algorithm includes settings to control the accuracy of confidence intervals estimates. The algorithm was tested on a number of Systems Biology models, including Taxol treatment model and STAT5 Dimerization model.
Evgeny Metelkin, Head of product development, comments on the study, “Ivan Borisov and I have developed the method which demonstrates better performance and reliability in comparison with previously applied. In the absence of identifiability analysis, one can never be certain how reliable parameters estimation and how accurate the model predictions are. However, practical usage of the analysis has not become a standard routine yet due to a number of challenges. The most critical one is that all the methods are computationally demanding. Our approach is less time-consuming and can be run for large-scale QSP models”.
The code and the examples are freely available on the repository
More InSysBio’s publications are available here
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.
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01 Oct 2018 12:23
InSysBio Announces Continuation of Collaboration with MedImmune for Quantitative Systems Pharmacology Modeling in Systemic Lupus Erythematosus
InSysBio, a pioneer in Quantitative Systems Pharmacology (QSP), modeling and simulation for drug development, announced today an extension of a collaboration with MedImmune, the global biologics research and development arm of AstraZeneca, for QSP modeling in systemic lupus erythematosus (SLE). The goal is to support the clinical development of anifrolumab, an investigational monoclonal antibody against the type I interferon receptor, by modeling the contributions of key cell types involved in the pathophysiology of lupus that are associated with the type I interferon dysregulation commonly seen with the disease.
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02 Oct 2018 14:05
InSysBio to present at ACoP9
InSysBio announces their participation at Ninth American Conference on Pharmacometrics (ACoP9), to be held October 7th to 10th, 2018, at the Loews Coronado Bay Resort near San Diego, CA. The theme of ACoP9 is “Modeling without Bounds”. InSysBio welcomes visitors at the booth #23.
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09 Oct 2018 15:29
InSysBio starts training course “Modeling for systems biology and biomedicine”
InSysBio expert modelers Dr. Galina Lebedeva, Dr. Tatiana Karelina, Dr. Evgeny Metelkin and Dr. Oleg Demin will give the course “Modeling for systems biology and biomedicine” at the Faculty of bioengineering and bioinformatics, Lomonosov Moscow State University.
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19 Oct 2018 15:49
InSysBio to present at BiotechClub 2018
InSysBio announces their participation at BiotechClub 2018 conference to be held on October 26th at Hyatt Regency Moscow Petrovsky Park. The theme of BiotechClub 2018 is “From Systems Biology to Systems Medicine”.
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24 Oct 2018 13:49
InSysBio to present at ICSB 2018
InSysBio announces their participation at 19th International Conference on Systems Biology (ICSB 2018) to be held October 28th to November 1st, 2018 in Lyon, France.
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