All Drug Development articles
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NewsOligonucleotide CDMO market set to triple to $11.14bn by 2031
The global oligonucleotide CDMO market is projected to nearly triple in value to USD 11.14 billion by 2031, driven by rising outsourcing demand as ASO and siRNA programmes advance through clinical and commercial development stages.
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NewsEngineered tRNAs and lipid nanoparticles target nonsense mutation cystic fibrosis
A preclinical study combining chemically modified suppressor tRNAs with inhaled lipid nanoparticles has restored functional CFTR protein production across bronchial epithelial cells, mouse models and patient-derived organoids, offering a potential new therapeutic strategy for nonsense mutation-driven cystic fibrosis.
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NewsNew LOX target discovery could help overcome chemotherapy-resistant breast cancer
A preclinical study has identified lysyl oxidase as an intracellular survival factor in triple-negative breast cancer, with researchers demonstrating that sequentially blocking LOX and a compensatory ferroptosis defence pathway significantly suppresses tumour growth without chemotherapy.
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ArticleSix assay requirements every researcher using NAMs should know
As NAMs become more widely used in drug discovery, assays must meet the demands of more complex models. Discover six requirements for reliable, reproducible and biologically meaningful data.
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NewsReview challenges one-size-fits-all approach to OSCC drug delivery
A new review published in the European Journal of Pharmaceutics and Biopharmaceutics argues that no single local drug-delivery formulation will suit every oral squamous cell carcinoma tumour, urging researchers to anchor development in clinical and biological context from the outset.
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NewsFirst-in-class drug targets ‘undruggable’ MYC in blood cancers
A first-in-class experimental drug has demonstrated preclinical activity against treatment-resistant blood cancers by exploiting a newly identified vulnerability between MYC and GSPT1, offering a potential route to one of oncology’s most elusive targets.
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ArticleHow AI-driven systems biology will reset the starting line for drug development
AI is making drug discovery faster, but can it make it more successful? Discover why combining AI with systems biology could help researchers tackle the biological complexity behind drug failure.
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ArticleWhy researchers are revisiting bisantrene decades after it was abandoned
An oncology drug abandoned decades ago is getting a second look, with new research uncovering a mechanism that could offer an alternative route to targeting MYC, one of cancer’s toughest targets.
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NewsNUS researchers identify molecular switch driving TNBC treatment resistance
Researchers at the National University of Singapore have identified DP103 as a potential molecular master switch sustaining tumour growth, cancer stem cells and treatment resistance in triple-negative breast cancer, with findings suggesting it could serve as a predictive biomarker for the investigational oral therapy RX-5902.
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NewsFirst multi-responsive foldamer-based gel offers new approach to controlled drug delivery
Researchers at the University of Birmingham have engineered a switchable gel built from synthetic foldamer molecules that responds to light, heat and acid — a platform with potential implications for controlled drug delivery and targeted therapeutic release.
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ArticleTargeting childhood myopia progression with 7-methylxanthine
Childhood myopia researcher Dr Klaus Trier explores how 7-methylxanthine targets scleral remodelling and axial elongation, and its potential to slow disease progression and reduce the risk of high myopia.
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NewsTissue chips target immunotherapy toxicity prediction without animal models
Researchers at the University of Rochester have developed human cell-based tissue chips designed to predict serious immunotherapy toxicities, including cytokine release syndrome, and have secured entry into the FDA’s ISTAND pilot programme.
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ArticleReducing drug development failures with human-relevant models and AI
Professor Joseph C. Wu of Stanford University explains how stem cells, human-relevant models and AI are helping researchers predict which drug candidates are most likely to succeed before clinical trials.
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NewsInsilico Medicine nominates AI-designed candidate for ocular diseases
Insilico Medicine has nominated ISM9077, an AI-designed small molecule targeting pathological inflammation, as its 32nd preclinical candidate since 2021, with potential applications across dry AMD, uveitis and dry eye disease.
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NewsWhat Google’s AI talent exodus could mean for future drug discovery
The departure of leading AI researchers from Google to found Discovery Loop raises important questions about the future direction of artificial intelligence in scientific research and drug development.
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NewsWhat Oblenio’s Phase I trial means for autoimmune drug discovery
Oblenio Bio has dosed the first patients in a Phase 1a trial of LBL-051, a tri-specific T cell engager designed to simultaneously target CD19, BCMA and CD3 and eliminate both B cells and plasma cells in a bid to achieve durable immune reset in refractory autoimmune diseases.
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NewsVY1706 Alzheimer’s gene therapy achieves 75 percent tau reduction in preclinical study
Voyager Therapeutics has presented six-month GLP toxicology data for VY1706, its investigational tau-targeting gene therapy, showing durable tau reductions of up to 75 percent and a clean safety profile in non-human primates, as the company prepares to begin first-in-human dosing in the second half of 2026.
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NewsBMP3 protein identified as therapeutic target for pulmonary arterial hypertension
Scientists at the Fralin Biomedical Research Institute have identified bone morphogenetic protein 3 as a protective factor in lung blood vessels, with preclinical data showing that restoring its levels can reverse hallmark features of pulmonary arterial hypertension.
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ArticleUnderstanding the toxicology endpoints that matter in ADC development
Antibody-drug conjugates (ADCs) present unique toxicology challenges. Learn which endpoints matter most, how they inform development decisions and why they are essential for building a robust nonclinical safety strategy.
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NewsInsilico Medicine launches AI drug discovery benchmarking platform
Insilico Medicine has unveiled a benchmarking platform designed to assess whether AI models can perform genuine drug discovery tasks, using decontaminated real-world datasets and proprietary validated programmes to move beyond inflated benchmark scores.