All Artificial Intelligence & Computational Tools articles
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NewsELRIG Drug Discovery 2026 celebrates 20th anniversary at ExCeL London
ELRIG Drug Discovery 2026 returns to ExCeL London for its 20th year, with AI, automation and advanced cell models among the technologies set to feature across the two-day programme.
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InterviewA sceptical guide to AI agents in drug discovery
AI agents promise to transform drug discovery, but where do they really add value? Dr Eric Ma examines search, model choice, vendor lock-in and why scientific expertise matters more than ever.
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ArticleDrug discovery in Q3 2026 – what changed and why it matters
Agentic AI, ultralarge virtual screening, molecular glues and human-relevant models were among the key developments in early drug discovery during Q3 2026. Drug Target Review examines what changed, why it matters and what to watch heading into Q4.
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NewsAI consortium targets antibody developability prediction with 10,000-sequence dataset
A new industry consortium led by Ginkgo Datapoints and Apheris is assembling a 10,000-antibody dataset to train AI models that can flag developability problems earlier in the drug discovery pipeline.
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NewsMathematical model probes metals’ role in Alzheimer’s plaque formation
A mathematical framework simulates how metals such as copper and zinc interact with amyloid-beta, offering a new computational tool to explore plaque formation and potential therapeutic interventions in Alzheimer’s disease.
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ArticleAI agents vs scientists: what should we automate in drug discovery?
AI agents can search, analyse and plan across drug discovery workflows, but where should scientists hand over control? We examine what to automate, what to check and where human judgement matters most.
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ArticleWhy AI struggles with new drug targets – and how physics could help
Virtual screening can assess billions of compounds, but performance can fall on unfamiliar targets. Combining AI with molecular physics could help make predictions more reliable.
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NewsInsilico Medicine launches open-source AI longevity research toolkit
Insilico Medicine has published a Cell cover study introducing LongevityBench, a suite of specialised AI models and an autonomous agentic discovery platform.
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NewsMicroproteins emerge as potential new Alzheimer’s targets
Scientists at the Salk Institute have constructed a comprehensive atlas of previously uncharacterised microproteins in the human frontal cortex, identifying over 1,000 novel candidates.
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ArticleFast-tracking AI-designed binders with cell-free expression and SPR
AI can rapidly generate new protein binders, but wet-lab validation remains a major bottleneck. Combining cell-free protein synthesis with surface plasmon resonance (SPR) enables AI-designed antibody binders to be screened directly from crude extracts, bypassing lengthy cell culture and purification steps.
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NewsOutSee secures £50k innovate UK grant for AI target validation
UK genomics and drug discovery company OutSee has received £50,000 in Innovate UK funding to develop an agentic AI sub-system designed to automate the initial triage of drug targets identified by its Nomaly genomics engine.
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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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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 intracellular targets remain a major drug discovery challenge – and how they’re becoming druggable
Many biologically important intracellular targets remain difficult to drug. Dr Rab Prinjha examines how screening within living cells could help tackle them.
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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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NewsAI designs functional bacteriophage genomes to overcome bacterial resistance
Scientists have used artificial intelligence to design complete, functional bacteriophage genomes from scratch, with engineered phages capable of overcoming resistance in bacteria that had defeated naturally occurring viruses — marking a significant step towards AI-driven whole-genome engineering.
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ArticleWhy single-cell foundation models have underdelivered and what drug discovery needs instead
Foundation models have delivered breakthroughs in protein biology, but single-cell models have struggled to match them. What is holding them back?
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NewsAI and genetics identify WNK2 inhibitor for osteoarthritis treatment
Researchers at University of Utah Health have used artificial intelligence and human genetic data to identify a promising early-stage drug candidate targeting WNK2, a protein linked to inherited osteoarthritis, with the lead compound reducing inflammatory gene activity and supporting cartilage cell health in laboratory models.
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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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NewsGlymphatic gene therapy platform targets brain’s glial cells precisely
A new gene therapy platform exploiting the brain’s glymphatic transport system and engineered AAV5 vectors could offer a targeted treatment route for multiple sclerosis, Huntington’s disease and rare white matter disorders.