All artificial intelligence articles
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NewsOpenBind launches AI model to accelerate drug discovery
Diamond Light Source has launched OpenBind v1, an open-access AI model and dataset designed to address critical data shortages in drug discovery by providing standardised protein-drug binding measurements at atomic resolution.
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NewsNew framework evaluates AI reliability in immune system prediction
Researchers at the University of South Florida have developed a comprehensive framework to test how accurately AI systems can predict immune responses, addressing critical questions about the reliability of computational tools in drug discovery.
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ArticleThe future of academic core labs: scaling operational excellence without increasing staff
The grounds have shifted the foundations of academic core facilities and the current climate demands their strategic agility in order to thrive. Boyd Butler at Molecular Devices reveals how these labs can capitalise on this opportunity to increase value and efficiency.
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NewsAI platform models protein flexibility to accelerate drug design
A new artificial intelligence platform developed at the University of Virginia addresses a critical limitation in computational drug design by modelling protein flexibility during molecular interactions. The suite of tools uses diffusion models to generate drug candidates whilst accounting for induced fit dynamics, potentially improving success rates in early-stage development.
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NewsInsilico announces ISM6200 AI-designed drug candidate for ovarian cancer and cortisol disorders
Insilico Medicine has nominated ISM6200, a preclinical drug candidate designed using generative AI to target NR3C1, a receptor involved in cortisol regulation.
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ArticleAI builds dual-action cancer drug targeting PKMYT1
Research published in Nature Communications shows how generative AI can be used to design complex dual-action cancer drug candidates. Insilico Medicine has developed a PKMYT1 degrader that both eliminates the target protein and blocks its activity, demonstrating the growing role of AI in advanced drug discovery.
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ArticleAI to antibody in days: breaking the wet lab bottleneck via high-throughput integration
AI is accelerating drug discovery at an unprecedented pace. Thousands of antibody candidates can now be designed in silico within hours. The challenge now is keeping experimental workflows fast enough to keep up. High-throughput expression and integrated developability assessment are making it possible to move from sequence to data in days.
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NewsAI discovers peptide that eases ulcerative colitis symptoms
Researchers at First Hospital of Jilin University have used machine learning to identify antimicrobial peptides with therapeutic potential for ulcerative colitis. The AI-driven approach screened over 6,000 candidates, identifying a lead peptide that demonstrated superior efficacy to standard treatments in preclinical models by reducing inflammation, restoring gut barrier integrity and selectively modulating the microbiome.