AI is becoming more capable, but its value still depends on the data, questions and decisions behind it. Where is it genuinely improving drug discovery and where do the limitations remain?
From early research to quality control, maintaining analytical continuity is no easy task. Could a single sequencing workflow help simplify analytical assessment?
One receptor can protect antibodies from degradation, extend their half-life and become a drug target itself. Explore the science behind FcRn and how researchers measure its function.
Non-animal methods are already used throughout early drug discovery, yet animal testing continues to dominate regulatory safety assessment. Recent initiatives suggest change is coming, but significant scientific and practical challenges remain.
What if the vast amounts of data generated by molecular dynamics simulations could be routinely shared and reused? A new €10 million European initiative aims to do just that, helping researchers gain a deeper understanding of protein behaviour and drug-target interactions.
Scientists at the University of Southern California have engineered synthetic organiser cells that produce localised Wnt signals to guide kidney organoid development, yielding more reproducible, physiologically accurate structures and revealing a previously unrecognised developmental axis in the human kidney.
A repurposed small molecule originally developed for spinal cord injury has demonstrated the ability to address multiple disease-relevant pathways in Alzheimer’s disease, including DNA damage and neuroinflammation, offering a potential route to disease-modifying therapy.
Insilico Medicine has advanced its AI-discovered TNIK inhibitor Rentosertib into a 320-patient Phase III trial for idiopathic pulmonary fibrosis, marking a landmark moment for generative AI drug discovery.
Non-animal methods are already used throughout early drug discovery, yet animal testing continues to dominate regulatory safety assessment. Recent initiatives suggest change is coming, but significant scientific and practical challenges remain.