All Drug Discovery Processes articles
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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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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.
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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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ArticleHow protective gene variants are revealing new drug targets
Finding the right drug target remains one of discovery’s biggest challenges. Human genetics is helping researchers strengthen the evidence before committing years of research and investment.
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NewsWhat SIRPα reveals about how breast cancer takes hold in the brain
Scientists at Wake Forest University School of Medicine have uncovered a previously unrecognised cancer-intrinsic role for SIRPα in triple-negative breast cancer, linking the cell-surface protein to mitochondrial fission, tumour-cell migration and suppression of the brain’s immune defences.
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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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NewsNew malaria mutations linked to resistance against multiple front-line drugs
Whole-genome sequencing of parasites from Ugandan patients has uncovered a cluster of genetic variants linked to reduced susceptibility to multiple front-line malaria treatments, with researchers warning the mutations are spreading rapidly.
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ArticleWhat makes a human biospecimen fit for purpose in drug discovery
Human biospecimens can bring drug discovery closer to human disease, but their value depends on far more than the sample itself. We explore the factors that determine how much researchers can learn from them.
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WebinarMapping the prostate tumour microenvironment with spatial proteomics
As spatial proteomics advances, how can researchers find the complex biology of the prostate tumour microenvironment while preserving spatial context? Hear experts from the University of Surrey share their approach.
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NewsInsilico launches specialist AI models for drug discovery chemistry
Insilico Medicine has unveiled a suite of compact, domain-trained AI models targeting ADMET prediction, retrosynthesis and target activity across GPCR and kinase panels, claiming state-of-the-art results on more than 70 benchmarks.
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ArticlePROTACs vs molecular glues: which degrader fits your target?
PROTACs and molecular glues can both remove disease-associated proteins, but choosing between them is not simple. Our new Discovery Toolkit compares the options to help discovery teams choose the right strategy.
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WebinarWhat it really takes to turn cancer discoveries into new therapies
Five leading cancer researchers from across genomics, proteomics, cell biology, chemical biology and gene therapy dig into what’s driving cancer drug discovery forward and what’s still holding progress back.
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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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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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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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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.
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NewsResearchers develop AI system to accelerate tuberculosis drug discovery
Researchers at Texas A&M have developed AI-driven platforms to help scientists navigate the bottlenecks of tuberculosis drug discovery, from eliminating nuisance compounds to unlocking years of archived research data.
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ArticleAI’s promise and practical limits in drug discovery
From ChatGPT to AI agents and world models, where is AI really heading in drug discovery? Dr Raminderpal Singh explains what researchers should focus on now.