A new wave of medicines has emerged in recent years, to supplement the established small and large molecule platforms. These complex medicines will become as important as traditional small molecule drugs in the coming years, with market values of hundreds of billions of pounds.
We partnered with CPI to engage stakeholders across the UK, through surveys and interviews, to develop an understanding of the complex medicines landscape, the challenges encountered by those working in this area, and to develop clear recommendations to support the sector for national growth and impact in this space.
“From an investor’s perspective, this field provides an avenue for even generalist investors to also capitalise on cutting-edge science. The complex medicines train is just leaving the station, so the journey is far from over – but the savviest investors will have secured the first-class tickets.” – Dr Claire Brown, Interim Chief Investment Officer (Oxford Science Innovation)
Download our State of the Discovery Nation 2021 report to get a more in-depth look into complex medicines.
By looking beyond the diffraction limit, we have established a method to quantitatively distinguish low-grade breast cancers that appear identical by traditional means. Ultimately, this nanoscale insight could expand access to novel HER2-targeted therapies by reliably identifying low expressing cohorts that would benefit from intervention.
Lipid nanoparticles (LNPs) are recognised as a leading delivery platform following clinical success in vaccine and therapeutic applications. Medicines Discovery Catapult (MDC) has built a preclinical platform to evaluate LNPs against two major challenges in the field. In this blog, Lead Scientist, Dr Phil Auckland, presents a case study of this workflow using intravenously administered LNPs encapsulating mRNA, which differentially target four major liver cell types.
Opening new avenues for RNA therapeutics through a preclinical screening and optimisation platform. In this blog, Lead Scientist Dr Phil Auckland describes how applying this platform to a library of 4,500 lipid nanoparticle (LNP) formulations enabled the identification of novel candidates with desirable mechanistic properties and in vivo functionality. Furthermore, we show that integrating multiple in vitro readouts can enhance prediction and thereby improve translation.
