Mapping the genome in 3D to reveal new drug targets
Find out how a three-dimensional view of the genome is giving scientists a clearer picture of disease biology and revealing new opportunities for targeted therapies.
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Find out how a three-dimensional view of the genome is giving scientists a clearer picture of disease biology and revealing new opportunities for targeted therapies.
Can automation and AI finally make science run at the speed of thought? Eric Ma shares how disciplined systems, not new models, will drive the next wave of discovery.
Nonequilibrium switching (NES) offers a faster, more scalable way to predict how strongly drugs bind to their targets. By replacing slow equilibrium simulations with rapid, parallel transitions, NES delivers accurate free energy predictions at speed.
Tasca Therapeutics is using chemical proteomics to map lipid-binding pockets on proteins. By targeting auto-palmitoylation, the company aims to turn previously undruggable cancer drivers into viable therapeutic targets.
Vanitha Margan, Global Product Manager for Bio-Plex Multiplex Immunoassays at Bio-Rad Laboratories, reveals how multiplexing is being used to realise the full potential of extracellular vesicles in disease monitoring.
BCG’s Chris Meier outlines how advances in AI and new UK policies could accelerate drug development, streamline clinical trials and strengthen the country’s life sciences sector.
Demands on central laboratories are consistently increasing, heightening the challenge to deliver operational excellence and the highest standard of scientific integrity with both speed and agility. ICON Laboratories is transforming the way we leverage data and intelligent operational models to meet evolving trial needs.
Drug-resistant infections are on the rise, endangering global health. Neil Murray from ReNewVax explains how the company’s universal pneumococcal vaccine, RVX-001, could reduce antibiotic use and help curb antimicrobial resistance.
Everyone talks about AI speeding up drug discovery, but Eric Ma explains why, without clean data and statistical discipline, it can actually do the opposite.
Oxford-based techbio start-up Scripta Therapeutics has announced a $12 million seed funding round helping them to reshape conventional drug discovery.
Bigger isn’t always better. In drug discovery, Dr Michael Ritchie argues that the future belongs not to those with the most data, but to those who understand its biological depth.
AI is transforming biomarker analysis in early drug discovery, revealing hidden biological patterns that improve target discovery, patient selection and trial design for more precise and predictive R&D.
Shift Bioscience have announced new research revealing that AI-driven virtual cell models perform far better than previously thought when assessed with correctly calibrated metrics.
Current obesity drug development remains overly focused on short-term weight reduction, despite obesity being a chronic, multifactorial disease. Broader, mechanism-driven approaches are needed to ensure durable efficacy, safety and accessibility.
A Japanese research team has simulated how RNA molecules fold, using cutting-edge computational tools to model complex structures with accuracy – a breakthrough that could accelerate the development of RNA-based medicines and therapies.