Dr Raminderpal Singh speaks to Dr Srijit Seal about how AI agents are changing computational drug discovery, the impact on scientists’ daily work and why valuable findings remain unpublished.
Could organ-on-a-chip technology help identify drug failures before clinical trials? Jim Corbett of Emulate discusses the evidence needed to make human-relevant models reliable tools in drug discovery.
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.
Researchers have designed an antifungal compound that targets a molecular feature unique to fungi, showing activity against drug-resistant pathogens while avoiding kidney injury in preclinical studies.
Two cancer drugs appeared almost identical in conventional screening, but a new 3D Cell Painting method exposed striking differences in their effects, raising questions about what 2D models might miss.
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.
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.