BioNotus is developing a robust in vitro screening assay to evaluate stress-mitigating botanicals. Using advanced techniques like LC-MS/MS and qPCR, the technology aims to identify stress-inducing and mitigating compounds, enhancing our understanding of stress response pathways.
BioNotus is pioneering an innovative approach to understanding and mitigating stress responses using botanicals. This technology leverages advanced analytical techniques such as LC-MS/MS and qPCR to develop a robust in vitro screening assay. The goal is to elucidate the pathways influenced by stress-inducing and stress-mitigating compounds, particularly focusing on botanicals, to advance the study of stress response mechanisms.
The technology is currently at TRL 4, indicating that it has been validated in a laboratory setting and is ready for further development and optimization in more complex environments.
BioNotus is a GLP-certified contract research organization based in Niel, Belgium, that specializes in providing integrated solutions for drug discovery and development. Founded in 2017, the company offers a unique, combined portfolio of services encompassing bioanalysis, pharmacometrics, and discovery ADMET profiling. Its laboratory is equipped for LC-MS/MS-based bioanalysis to quantify drugs, metabolites, and biomarkers in diverse biological matrices, while its pharmacometrics division utilizes computational modeling and simulation, including population and physiology-based pharmacokinetic (PBPK) approaches, to guide clinical study design and dosing strategies. By offering both laboratory and consulting capabilities under one roof, BioNotus aims to enhance project efficiency and data-driven decision-making for its clients.
The company serves a wide range of partners, including university hospitals, academic researchers, and small-to-medium-sized pharmaceutical and biotech firms. By converting complex experimental data into actionable insights, BioNotus helps clients navigate regulatory requirements, optimize dosing in special populations, and improve the success rates of preclinical and clinical trials. Their approach emphasizes fit-for-purpose solutions and iterative integration of bioanalytical data with predictive modeling, providing customers with affordable, high-quality support that spans the entire lifecycle of drug development from early discovery stages to late-stage clinical evaluation.