All Bioinformatics articles
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NewsOpenBind launches AI model to accelerate drug discovery
Diamond Light Source has launched OpenBind v1, an open-access AI model and dataset designed to address critical data shortages in drug discovery by providing standardised protein-drug binding measurements at atomic resolution.
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ArticleThe scale divide: competing strategies in AI drug discovery
Two approaches to AI in preclinical drug discovery are diverging, from multi-thousand GPU systems to models with only a handful of parameters, with early results raising questions about which will deliver.
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NewsNew immune mapping reveals lung tumour microenvironment dynamics
VIB-VUB researchers have developed a patient-relevant lung adenocarcinoma model combined with SEPARATE-Seq technology to create detailed immune maps distinguishing tissue-infiltrating cells from circulating populations.
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ArticleFrom leaderboards to lab notebooks: AI designs reach preclinical testing
For years, AI drug discovery has been judged on benchmark performance. Now, a set of studies shows what happens when those designs are made and tested in preclinical settings.
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News10x Genomics launches Atera whole-transcriptome spatial biology platform
The new platform enables researchers to analyse gene expression and cellular organisation within intact tissue at single-cell resolution, supporting large-scale studies across fresh-frozen and FFPE samples. Early adopters include leading research institutions and global service providers, with cloud-based analysis tools and direct sample processing services now available.
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ArticleBeyond serendipity: rational design and AI’s expansion of the undruggable target landscape
For decades, drugging the ‘undruggable’ was thought to require luck rather than logic. Today, AI is transforming serendipity into strategy by enabling rational, data-driven approaches to previously inaccessible targets.
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ArticleFrom fragments to maps: scaling drug–target interaction data
Most drug–target data were never designed to be compared at scale. Pharmome mapping takes a different approach, building a shared dataset intended to support more predictable discovery.
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InterviewComputational design drives new generation of synthetic promoters
Designing gene control from scratch is becoming possible. SynGenSys is using computational design to create synthetic promoters for advanced therapies.
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NewsPRI-101 could become first disease-modifying Parkinson’s drug
Biotechnology company Priavoid GmbH has announced proof-of-concept data for PRI-101, an orally available peptide drug targeting neurodegeneration. Preclinical studies demonstrate the experimental therapy reduces toxic α-synuclein aggregates across multiple Parkinson’s disease models, with evidence of blood-brain barrier penetration and improved survival outcomes.
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InterviewFrom scientist to bioinformatician: how AI coding tools dissolved the activation energy barrier
A biotech CEO with decades of scientific experience but sporadic coding practice gained practical bioinformatics capabilities in six weeks using AI coding assistants.
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ArticleDesigning targeted assays for clinical success from the start
Why do some targeted assays move smoothly from discovery to clinical practice while others stall? The answer often lies in the earliest design decisions, where choices about samples, platforms and data determine what is possible later.
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OpinionAI in drug discovery: predictions for 2026
As AI drug discovery enters 2026, the industry faces a pivotal year of clinical tests, regulatory clarity, and market consolidation. Here, Dr Raminderpal Singh examines where AI is delivering measurable gains in early discovery, where hype outpaces reality and why Phase III results will determine whether the technology can truly ...
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ArticleAI begins to enter Alzheimer’s drug discovery pipelines
Artificial intelligence is increasingly used to analyse large, multimodal Alzheimer’s datasets and inform target discovery and trial design. A new JPAD special issue highlights how these methods are moving from experimentation towards practical application in drug discovery.
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NewsHow ageing cells affect brain development and neurodegeneration
New research has revealed how cellular senescence – the process in which ageing cells change function – shapes human brain structure from development to old age, improving our understanding of brain ageing and neurodegenerative diseases.
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ArticleRethinking drug discovery through transcription factor biology
Complex diseases rarely have single targets. By focusing on transcription factor activity and disease signatures, Scripta Therapeutics is taking a different approach to identifying the drivers of pathology.
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Article2026: the year AI stops being optional in drug discovery
AI is moving from a supporting role into the core of drug discovery. By 2026, it is expected to shape how targets are chosen, how biology is analysed and how development decisions are made.
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NewsNew AI genomics platform targets kidney and cardiorenal disease
Seattle-based biotech company, Variant Bio, have launched Inference, an AI-powered genomics platform designed to accelerate drug discovery and identify genetically supported targets.
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ArticleAgentic AI: teaching machines to think like scientists
What happens when AI stops guessing and starts reasoning? Agentic AI is bringing scientific logic into the heart of drug discovery.
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ArticleThe data fragmentation problem holding drug discovery back
The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of Product at Certara, explains how better infrastructure and AI can help teams work faster and make decisions with more confidence.
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NewsNew AI model links genetic mutations to specific diseases
Scientists have developed a new artificial intelligence tool that can identify harmful genetic mutations and predict the types of diseases they are likely to cause, offering faster diagnosis and new opportunities for drug discovery.