Topics
ArticleFaster, scalable biologics stability testing without sacrificing data quality
Stability problems can derail promising biologics late in development. Bringing high-throughput testing earlier into discovery could help researchers identify risks before they become costly failures.
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.
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.
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.
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.
WebinarThe truth about AI in drug discovery: what the experts really think
AI is transforming drug discovery - but beyond the hype, what’s actually delivering results? In this expert-led webinar, industry leaders explore where AI is accelerating target identification, molecule design and hit discovery, while also confronting the real-world challenges of data quality, validation and adoption. Discover what’s working today, what still ...
WebinarCan One Peptide Change Pain Research? Meet the Tool Transforming Drug Discovery
Discover how a new peptide tool, WRPRFa, is helping researchers better understand pain pathways and accelerate the search for next-generation analgesics.
WebinarOvercoming Affinity and Expression Bottlenecks in TCR Discovery
This expert-led webinar discusses how to break through common bottlenecks in TCR discovery with practical strategies that help teams move faster and smarter.
ArticleInduced proximity drugs – why complex formation is not enough
A drug can form exactly the complex it was designed to make and still fail to work. Two recently approved induced proximity drugs show why what happens after complex formation – not formation alone – can decide the outcome.
ArticleHow disease exposes hidden epitopes that AI models may miss
A protein can look very different in disease without a single change to its sequence. Measuring these structural changes could reveal drug targets invisible to genomic and expression data alone.
ArticleTurning CNS biomarkers into better drug development decisions
Why do promising CNS therapies struggle to translate into patients? Three experts explore how biomarkers can track therapeutic effects, improve patient selection and guide development decisions.
ArticleWhy depression needs a different drug discovery strategy
What if depression is not one disease, but many biologically distinct conditions? A major research programme is investigating what this could mean for biomarkers, drug targets and treatment.
- Article
Faster, scalable biologics stability testing without sacrificing data quality
Stability problems can derail promising biologics late in development. Bringing high-throughput testing earlier into discovery could help researchers identify risks before they become costly failures.
- Interview
A 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.
- Article
Drug 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.
- Article
Induced proximity drugs – why complex formation is not enough
A drug can form exactly the complex it was designed to make and still fail to work. Two recently approved induced proximity drugs show why what happens after complex formation – not formation alone – can decide the outcome.
- Article
Drug 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.
- Article
Induced proximity drugs – why complex formation is not enough
A drug can form exactly the complex it was designed to make and still fail to work. Two recently approved induced proximity drugs show why what happens after complex formation – not formation alone – can decide the outcome.
- Article
AI 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.
- Article
How disease exposes hidden epitopes that AI models may miss
A protein can look very different in disease without a single change to its sequence. Measuring these structural changes could reveal drug targets invisible to genomic and expression data alone.
- Article
Faster, scalable biologics stability testing without sacrificing data quality
Stability problems can derail promising biologics late in development. Bringing high-throughput testing earlier into discovery could help researchers identify risks before they become costly failures.
- Article
Drug 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.
- Article
Induced proximity drugs – why complex formation is not enough
A drug can form exactly the complex it was designed to make and still fail to work. Two recently approved induced proximity drugs show why what happens after complex formation – not formation alone – can decide the outcome.
- Article
How disease exposes hidden epitopes that AI models may miss
A protein can look very different in disease without a single change to its sequence. Measuring these structural changes could reveal drug targets invisible to genomic and expression data alone.
ArticleDrug development has changed. Bioanalysis is changing with it
As drug developers pursue increasingly complex therapies, traditional bioanalytical approaches are being put to the test. How is the field adapting to meet these new demands?
ReportAI in Drug Discovery: Progress, Limits and What Comes Next
AI has attracted enormous investment across drug discovery, but major questions still remain around validation, reproducibility and real-world application. In our latest Beyond the Lab report, experts discuss where the technology is starting to influence discovery workflows – and where limitations continue to slow adoption.
ArticleWhy targeted therapies are exposing the limits of animal models – and what comes next
Traditional preclinical models are struggling to keep pace with a new generation of targeted therapies. As regulators embrace new approach methodologies (NAMs), vascularised tissue platforms are offering a more human-relevant approach to predicting drug efficacy and safety.
ArticleWomen in STEM: resilience and leadership in rare disease research
Rare neurological diseases remain one of the most challenging areas in drug discovery, with many patients still lacking treatment options. Dr Nitza Thomasson discusses returning to Servier to lead its rare neurology therapeutic area and explains why resilience, curiosity and persistence are essential for those looking to build a meaningful career in STEM.