Promising compounds don’t always engage their targets in living cells. At ELRIG Drug Discovery 2026, Dr Joshua Sopp of Promega discusses why earlier cellular testing matters and how BRETSA could help researchers investigate new drug targets.
Six scientists and industry experts discuss the challenges of automating drug discovery, from improving screening reliability and reproducibility to developing more autonomous laboratories.
High affinity is often a priority when selecting reagents, but does it guarantee better assay performance? Discover why binding kinetics and matrix selectivity matter when developing custom reagents for challenging targets.
How reliable are AI virtual cells compared with experimental models? We examine what each can predict or measure, the evidence behind their reliability and their role in early drug discovery.
Researchers at Johns Hopkins have identified a natural plant compound capable of blocking an enzyme that degrades DNA methyltransferase inhibitors, offering a potential strategy to overcome resistance to epigenetic cancer therapies.
Researchers at Fox Chase Cancer Center have identified anoctamin 6 (ANO6) as a potential therapeutic target in pancreatic cancer, finding that blocking the protein disrupts both nutrient transfer to tumour cells and immune evasion in preclinical models.
A landmark multi-institution collaboration has found no reproducible lasting behavioural changes in mice 24 hours after a single psilocybin dose, raising important questions about research reproducibility in psychedelic drug discovery.
A new study has mapped previously unknown RNA-protein interactions across the SARS-CoV-2 genome, identifying conserved sites involving RdRp and the nucleocapsid protein as potential antiviral drug targets less susceptible to mutational escape.
Poor recovery, inconsistent growth and changes in morphology can affect organoid research. How much experimental variability starts with the culture itself?
Find out how virus-like particles are produced at scale, and how they can be used to measure IgM, IgG and neutralising antibody responses in vaccine development.
How can multiomics help researchers identify more promising drug targets? Dr Shi-qi An explores how combining molecular data can reveal therapeutic vulnerabilities and mechanisms of drug resistance.