MSA and Parkinson’s share the same protein pathology, yet MSA progresses far faster. Could earlier detection reveal why and help researchers identify more effective targets for drug discovery?
The right signals can make or break an organoid model. From growth and differentiation to downstream drug testing, cytokines and growth factors are critical to creating cultures researchers can rely on.
The strongest disease signal may not point to the best drug target. AI could help researchers identify what matters within complex biological networks.
Stability problems can derail promising biologics late in development. Bringing high-throughput testing earlier into discovery could help researchers identify risks before they become costly failures.
Researchers have found that the TRPV1 pain receptor responds differently to individual stimuli, revealing functional differences that could help inform the development of more selective pain medicines.
Two experimental compounds derived from a phase II metabolite have demonstrated improved anti-inflammatory activity in preclinical models of ulcerative colitis.
Researchers have identified a weakness in antibiotic-resistant bacteria that could help restore susceptibility to existing treatments by disrupting a lipid carrier essential for bacterial cell-wall synthesis.
A gene responsible for producing a critical enzyme in inflammatory signalling has been identified after more than 30 years, with findings suggesting the pathway acts as both an immune alarm and a cellular shield with implications for cancer, IBD and asthma.
As sequencing continues to grow in importance across biotherapeutic discovery and development, where can it make the biggest impact and how can fragmented workflows be overcome?
Five leading cancer researchers from across genomics, proteomics, cell biology, chemical biology and gene therapy dig into what’s driving cancer drug discovery forward and what’s still holding progress back.
AI agents promise to transform drug discovery, but where do they really add value? Dr Eric Ma examines search, model choice, vendor lock-in and why scientific expertise matters more than ever.