What if researchers could design therapeutic antibodies instead of relying on screening millions of candidates? Generative AI is making this increasingly possible, offering new ways to tackle challenging targets.
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.
The editing machinery gets much of the attention in genome editing, but it’s the donor DNA template that can determine whether an edit works. Long synthetic ssDNA could offer researchers another option.
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.
Researchers have identified a mechanism by which overactive YAP and TAZ proteins may simultaneously increase cancer cell visibility to the immune system and shield tumours from T-cell attack.
UCLA researchers have shown that transiently activating the tumour suppressor protein p53 using an investigational MDM2 inhibitor can reduce exhaustion in engineered T cells and significantly improve their ability to kill melanoma cells in vitro.
Six scientists and industry experts discuss the challenges of automating drug discovery, from improving screening reliability and reproducibility to developing more autonomous laboratories.
Poor recovery, inconsistent growth and changes in morphology can affect organoid research. How much experimental variability starts with the culture itself?
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.