Topics
ArticleVirtual cells vs experimental models: which can you trust?
How reliable are AI virtual cells compared with experimental models? We examine what each can predict or measure, the evidence behind their reliability and their role in early drug discovery.
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.
ArticleThe next gene-editing breakthrough may start with the donor template
The editing machinery gets much of the attention in genome editing, but it’s the donor DNA template that can determine whether an edit works. Long synthetic ssDNA could offer researchers another option.
ArticleScientists are already using AI agents. Most of what they learn goes unpublished.
Dr Raminderpal Singh speaks to Dr Srijit Seal about how AI agents are changing computational drug discovery, the impact on scientists’ daily work and why valuable findings remain unpublished.
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.
- Interview
How 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.
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?
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.
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.
- Article
Virtual cells vs experimental models: which can you trust?
How reliable are AI virtual cells compared with experimental models? We examine what each can predict or measure, the evidence behind their reliability and their role in early drug discovery.
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.
- Interview
How 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.
- Article
The next gene-editing breakthrough may start with the donor template
The editing machinery gets much of the attention in genome editing, but it’s the donor DNA template that can determine whether an edit works. Long synthetic ssDNA could offer researchers another option.
- Article
Virtual cells vs experimental models: which can you trust?
How reliable are AI virtual cells compared with experimental models? We examine what each can predict or measure, the evidence behind their reliability and their role in early drug discovery.
- Interview
How 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.
- Article
The next gene-editing breakthrough may start with the donor template
The editing machinery gets much of the attention in genome editing, but it’s the donor DNA template that can determine whether an edit works. Long synthetic ssDNA could offer researchers another option.
- Article
Scientists are already using AI agents. Most of what they learn goes unpublished.
Dr Raminderpal Singh speaks to Dr Srijit Seal about how AI agents are changing computational drug discovery, the impact on scientists’ daily work and why valuable findings remain unpublished.
- Article
Why 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.
- Interview
How 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.
- Article
Earlier 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?
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.