All High-Throughput Screening (HTS) articles
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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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ArticleWhen scale meets insight: reinventing SPR for the future of drug discovery
Carterra’s new 48-channel SPR platform reimagines throughput, automation and data quality for modern discovery workflows.
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NewsAI system detects pain in laboratory mice through facial analysis
Researchers at ETH Zurich have developed an automated system that uses infrared imaging and artificial intelligence to assess pain in laboratory mice by analysing subtle facial expressions, offering a more consistent and humane alternative to traditional manual observation methods.
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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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NewsOvarian follicles provide new platform for angiogenesis research
A novel microphysiological system using ovarian follicles enables physiologically relevant three-dimensional angiogenesis modelling within 24 hours, offering improved drug screening capabilities that distinguish therapeutic effects from general toxicity.
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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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NewsMassey Cancer Center funds drug discovery projects targeting Hsp27-CerS1 and ferroptosis pathways
The VCU Massey Comprehensive Cancer Center has awarded $50,000 each to two innovative drug discovery projects through its collaborative programme with Sanford Burnham Prebys Medical Discovery Institute.
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NewsZebrafish drug screening identifies precision therapies for autism
Yale University researchers have created a behavioural drug screening database using zebrafish models to identify FDA-approved compounds that reverse disrupted behaviours linked to autism risk genes.
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WebinarFrom expert task to lab routine - Membrane protein purification and analysis simplified
A new way to tackle the most challenging drug targets: Discover a fully automated, detergent-free purification workflow that isolates membrane proteins in their native 3D structure in as little as three hours and with minimal hands-on time. Learn how to perform subsequent digital miniaturization and qPCR-based stability analysis with compact solutions that integrate seamlessly into your lab.
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ReportCRISPR & Genomics: Turning Data into Confident Drug Discovery Decisions
Early drug discovery has no shortage of genomic data, but confidence remains scarce. This report examines how CRISPR, functional genomics and human-relevant models are being applied to determine which signals matter, how they influence disease biology and which targets and strategies are worth pursuing.
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WebinarWhat it takes to automate high-content imaging at scale
This webinar examines the design trade-offs and technical constraints involved in building a high-throughput robotic imaging pipeline for complex biological workflows.
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ArticleDiscovery is changing – and automation leads the way
Automation is helping drug discovery teams screen faster, cut costs and run complex assays at scale – but its real value lies in what happens next.
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InterviewHow self-driving labs are changing drug development
Automation and artificial intelligence are changing how scientists design, test and refine new molecules. At the University of Toronto, Stuart R Green and the Acceleration Consortium are building a self-driving lab that could change the pace of early drug discovery.
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NewsNew AI foundation model aims to speed up drug discovery
Insilico Medicine and Liquid AI have partnered to develop a lightweight artificial intelligence foundation model designed to support multiple stages of drug discovery.
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NewsFlare Therapeutics streamlines drug discovery with Simplicis Ledger
Flare Therapeutics has selected Simplicis Ledger™ as its primary compound and inventory management platform, marking a strategic move toward a more resilient and automated approach to drug discovery.
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NewsCC023 mice reveal how ALS can develop after viral infections
Researchers have discovered a mouse strain that mirrors ALS in humans following a viral infection, offering new insights into how the disease develops, potentially opening new pathways for early diagnosis and drug development.
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NewsMini-stomach organoids grown to improve disease research
Scientists have grown the first multi-regional “mini-stomach” in the lab, creating a new way to study rare genetic stomach diseases and help to develop new treatments for digestive conditions.
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NewsTargeting cPLA2 enzyme may reduce brain inflammation in Alzheimer’s
Researchers have identified new drug candidates that selectively target the cPLA2 enzyme, a key driver of brain inflammation linked to Alzheimer’s disease, offering a potential new approach to reducing risk in people with the APOE4 gene.
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ArticleDrug development in 2026: NAMs, safety and regulatory changes
2026 is set to be a pivotal year for drug discovery, with advances in NAMs and evolving regulatory approaches promising faster, safer early drug development and accelerated delivery of therapies for patients with rare or unmet medical needs.