All Drug Targets articles
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NewsMolecular switch discovery could lead to new bone disease treatments
A molecular switch that activates an alternative energy-burning pathway in brown fat has been identified by McGill University researchers, offering potential new approaches to treating bone disease and metabolic disorders through the TNAP enzyme’s glycerol pocket.
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NewsYAP1 protein found to drive chemotherapy resistance in small cell lung cancer after treatment
University of Texas MD Anderson Cancer Center researchers have discovered that YAP1 protein expression emerges after chemotherapy treatment in small cell lung cancer, enabling resistant cancer cells to survive and proliferate.
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NewsProtein modifications control drug binding and efficacy in new study
New research reveals that subtle chemical changes to proteins after synthesis play a critical role in determining drug-protein interactions.
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ArticleTurning CRISPR hits into confident drug discovery decisions
Functional genomics is central to modern drug discovery, yet high attrition rates persist. In this article, Dr Salman Tamaddon-Jahromi, a postdoctoral research associate at the University of Cambridge, discusses how end-to-end CRISPR screening strategies, iPSC-derived neuronal models and layered quality control can convert functional genomics signals into actionable therapeutic hypotheses.
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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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NewsNovel enzyme inhibitors exploits key weakness in malaria parasite
Researchers from the Universities of Bath and Leeds have engineered a novel class of aminopeptidase P inhibitors with enhanced binding affinity and antiparasitic activity against Plasmodium falciparum.
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NewsBispecific antibody targets Wnt co-receptors for diabetic macular oedema treatment
Preclinical data presented at ARVO 2026 demonstrate therapeutic potential of targeting Gpr124 and Lrp6 Wnt co-receptors to restore blood-retina barrier integrity in diabetic macular oedema and wet age-related macular degeneration, with trispecific candidate NVQ501 advancing towards IND-enabling studies.
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ArticleThe scale divide: competing strategies in AI drug discovery
Two approaches to AI in preclinical drug discovery are diverging, from multi-thousand GPU systems to models with only a handful of parameters, with early results raising questions about which will deliver.
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NewsNew SEE-CITE technology maps drug-protein interactions with targeted precision
A UCLA-led research team has developed SEE-CITE, an advanced photo-crosslinking technology that enables direct comparison of drug-protein binding interactions, potentially aiding the discovery of safer, more effective therapeutics across multiple disease areas.
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NewsNew dual-action drug candidate extends survival in pancreatic cancer models
Researchers have developed a dual-mechanism compound that significantly extended survival in preclinical pancreatic cancer models by simultaneously activating immune responses and blocking suppressive pathways.
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NewsHybrid molecule shows enhanced metabolic effects in obesity study
A novel hybrid molecule combining incretin therapy with targeted intracellular delivery of a PPAR agonist has demonstrated strong weight loss and glucose control compared to existing GLP-1/GIP therapies in preclinical studies.
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NewsRepurposed cancer drugs target root cause of Crohn’s Disease
Researchers at the University of Houston have identified epithelial stress signalling as a key driver of Crohn’s disease and demonstrated that two FDA-approved cancer drugs can interrupt the pathological cycle of cell death and inflammation.
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NewsNew approach targets ‘undruggable’ proteins in prostate cancer
A novel drug design strategy has achieved binding strengths up to a million times greater than previous approaches against intrinsically disordered proteins, potentially leading to new treatments for prostate cancer and other diseases involving these historically intractable targets.
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ArticleWhy lower organisms matter for neurodegeneration drug discovery
In the wake of recent government policy aimed at actively replacing animal models in drug discovery, we consider a possible solution to the translational shortfalls of current cellular methodologies for neurodegenerative disease.
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NewsNew method streamlines C–N bond formation for amine synthesis
Researchers at the University of Wisconsin–Madison have reported a new approach to forming carbon–nitrogen bonds, a critical step in the synthesis of amines widely used in pharmaceuticals, agrochemicals and polymers.
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ArticleVariant or viable target? How resolving complex genomic regions is reshaping rare disease therapeutics
Dr Aaron Wenger reveals how improvements in long-read sequencing technology is enabling the elucidation of complex disease mechanisms for targeted and effective treatments for rare diseases.
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NewsNew strategy targets antibiotic resistance in cystic fibrosis
Researchers at the University of Texas at Austin have demonstrated that targeting a bacterial protein-folding pathway can disable antimicrobial resistance and cross-protection, restoring antibiotic susceptibility in preclinical models of cystic fibrosis infection.
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NewsNew platform reveals shared drug targets across genetic mutations in cancer and neurodegeneration
Researchers have developed PerturbFate, a platform that simultaneously tracks gene expression, RNA dynamics and chromatin accessibility across thousands of genetic perturbations in single cells. Applied to melanoma drug resistance, the technology revealed that diverse mutations converge on shared regulatory nodes, offering a route to therapies targeting common mechanisms rather than individual genetic alterations.
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ArticleBeyond serendipity: rational design and AI’s expansion of the undruggable target landscape
For decades, drugging the ‘undruggable’ was thought to require luck rather than logic. Today, AI is transforming serendipity into strategy by enabling rational, data-driven approaches to previously inaccessible targets.
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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.