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.
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.
A drug can form exactly the complex it was designed to make and still fail to work. Two recently approved induced proximity drugs show why what happens after complex formation – not formation alone – can decide the outcome.
Agentic AI, ultralarge virtual screening, molecular glues and human-relevant models were among the key developments in early drug discovery during Q3 2026. Drug Target Review examines what changed, why it matters and what to watch heading into Q4.
Penn State researchers have shown that inhibiting the protein VPS34 increases GD2 display on neuroblastoma cell surfaces, making tumours more visible to anti-GD2 antibodies and improving outcomes in preclinical combination studies.
TechBio firm WhiteLab Genomics has closed a $26 million Series B round to expand in vivo validation of its AI-designed genomic medicines across viral and non-viral delivery platforms.
Researchers have identified oncogenic KRAS as a key driver of immunosuppression in gastric adenocarcinoma.
An experimental small-molecule inhibitor targeting the MAP4K4 protein has reduced fat accumulation, inflammation, liver injury and fibrosis in preclinical models of MASH, offering a potential new therapeutic avenue for a disease with limited treatment options.
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.