Tools and techniques
Discover tools and techniques supporting modern drug discovery, including assays, biomarkers, sequencing, molecular modelling, analytical technologies and translational research methods that improve target validation, therapeutic development, data generation and scientific decision-making.
Tools and techniques
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Tools and techniques
ArticleStrong binding isn’t enough – why cellular target engagement matters
Promising compounds don’t always engage their targets in living cells. At ELRIG Drug Discovery 2026, Dr Joshua Sopp of Promega discusses why earlier cellular testing matters and how BRETSA could help researchers investigate new drug targets.
ReportLab Automation 2026: Inside the labs making drug discovery faster and more reliable
Six scientists and industry experts discuss the challenges of automating drug discovery, from improving screening reliability and reproducibility to developing more autonomous laboratories.
ArticleHow AI is changing the way therapeutic antibodies are designed
What if researchers could design therapeutic antibodies instead of relying on screening millions of candidates? Generative AI is making this increasingly possible, offering new ways to tackle challenging targets.
ArticleWhy reagent selection belongs inside assay design
High affinity is often a priority when selecting reagents, but does it guarantee better assay performance? Discover why binding kinetics and matrix selectivity matter when developing custom reagents for challenging targets.
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InterviewHow multiomics can strengthen drug target discovery
How can multiomics help researchers identify more promising drug targets? Dr Shi-qi An explores how combining molecular data can reveal therapeutic vulnerabilities and mechanisms of drug resistance.
ArticleWhat will it take to trust human-relevant models in drug discovery?
Could organ-on-a-chip technology help identify drug failures before clinical trials? Jim Corbett of Emulate discusses the evidence needed to make human-relevant models reliable tools in drug discovery.
ArticleEarlier MSA detection could guide alpha-synuclein drug discovery
MSA and Parkinson’s share the same protein pathology, yet MSA progresses far faster. Could earlier detection reveal why and help researchers identify more effective targets for drug discovery?
ArticleReproducible organoids start with reliable cytokines
The right signals can make or break an organoid model. From growth and differentiation to downstream drug testing, cytokines and growth factors are critical to creating cultures researchers can rely on.
ArticleFinding drug targets through the noise of complex disease
The strongest disease signal may not point to the best drug target. AI could help researchers identify what matters within complex biological networks.
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.
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.
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.
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.
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.
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.
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.
ArticleSample collection: the overlooked key to genomic study success
As genomic studies become larger and more diverse, sample collection can make or break their success. Discover why collection strategy matters for recruitment, scale and data quality.
ArticleWhy more ribosomes can mean less protein in mRNA therapeutics
What happens when the cellular machinery making therapeutic proteins slows down? New research in Nature shows why translation speed could matter for the design of mRNA medicines.
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.