Welcome to the NeuroDeRisk Project
NeuroDeRisk is an “Innovative Medicines Initiative” (IMI2) project aiming to provide novel validated integrated tools for improving the preclinical prediction of adverse effects of pharmaceuticals on the nervous system and thus help to de-risk drug candidates earlier in the Research and Development phases. The focus is on three major types of neurotoxicity:
SZ – Tox
convulsant & seizure-inducing effects
P/P – Tox
psychological & psychiatric side effects
PNS – Tox
peripheral nervous system toxicity
The adverse effects of pharmaceuticals on the central or peripheral nervous systems are poorly predicted by the current in vitro and in vivo preclinical studies performed during Research and Development (R&D) process. Therefore, increasing the predictivity of the preclinical toolbox is a clear need, and would benefit to human volunteers/patients (safer drugs) and Pharmaceutical Industry (reduced attrition). By combining top level scientists in neurobiology/toxicology with successful software developers, the NeuroDeRisk Consortium will aim at tackling three of the most challenging adverse effects: seizures, psychological/psychiatric changes, and peripheral neuropathies.
Our approach is a global one, starting with an in-depth evaluation of knowledge on mechanisms of neurotoxicity (biological pathways as well as chemical structures and descriptors, using in particular historical data), followed by the development of innovative tools, assays, and studies covering in silico, in vitro and in vivo approaches. This includes in particular:
- a molecular design platform,
- artificial intelligence,
- human induced pluripotent stem cells,
- blood-brain-barrier models,
- RNA editing biomarkers,
- video-monitoring and
- Nnon-invasive in vivo technologies (ultra high resolution video-monitoring, telemetry, actimetry)
The final step of our project aims at combining these tools in an integrated platform for improved risk-assessment and decision-points throughout the R&D process, providing a prediction platform for de-risking drug candidates based on potential neurotoxicity.
- Open Access Article: Novel method to construct quantitative pharmacophore modelsQSAR methods are widely applied in the drug discovery process, both in the hit‐to‐lead and lead optimization phase, as well as in the drug-approval process. Most QSAR algorithms are limited to using molecules as input and disregard pharmacophores or pharmacophoric features entirely.
- 24-months progress of the project online meetingWednesday, February 24, 2021 – Thursday, February 25, 2021, @homeoffice. First things first: Despite the COVID-19 pandemic, we are – with some exceptions – on track and will have another 4 deliverables ready by the end of February. This is very good news and all this is only possible due …