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.
Olga Ivanova comments on the article, "Our model of PD-like pathology in mice captures the complex dynamics of αSyn metabolism throughout the brain and the influence of neuroinflammation on PD pathogenesis and dopaminergic neurodegeneration. The model simulations predict how different proposed mechanisms of anti-αSyn immunotherapy may contribute to pathology reduction and how anti-inflammatory therapy may enhance the effect of immunotherapy."
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 innovative 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. For more information about InSysBio, its solutions and services, visit www.insysbio.com
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09 Nov 2023 16:15
IRT webinars. InSysBio ecosystem to speed up and facilitate QSP model development
InSysBio announces the upcoming webinar on Immune Response Template (IRT) on November 21 & 28, 2023 at 8am PST / 11am EST. This webinar aims to demonstrate how to use InSysBio ecosystem and IRT in particular to speed up and facilitate QSP model development.
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27 Nov 2023 17:45
InSysBio to announce a webinar on CYTOCON organized by ASCPT
InSysBio announces its participation in the upcoming webinar on CYTOCON organized by ASCPT entitled "CYTOCON: The Manually Curated Database of Human In Vivo Cell and Molecule Concentrations" on November 28, 2023, 9AM PT, 12PM ET. This webinar aims to demonstrate key features and application of CYTOCON DB.
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