All Bioinformatics articles
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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
SynGenSys applies computational design strategies to engineer synthetic promoters with predictable performance characteristics for therapeutic and manufacturing applications. Professor David James discusses how tissue-specific regulatory elements are designed from genomic data to enable precise control of gene expression in contexts ranging from NK cell immunotherapy to biologic production.
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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.
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NewsNew beta lab platform to streamline early-stage research
UK life science software company Lab Thread has launched the beta of its unified lab platform, designed to streamline research workflows.
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NewsLife sciences face ‘scientific content crisis’ in AI adoption
A new survey by the Pistoia Alliance reveals a growing ‘scientific content crisis’ in life sciences, showing that incomplete data and weak governance are limiting the accuracy and adoption of AI in research and development.
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ArticleRVX-001: a universal vaccine to tackle antimicrobial resistance
Drug-resistant infections are on the rise, endangering global health. Neil Murray from ReNewVax explains how the company’s universal pneumococcal vaccine, RVX-001, could reduce antibiotic use and help curb antimicrobial resistance.
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ArticleMaking science run at the speed of thought: the reality of AI in drug discovery – Part 1
Everyone talks about AI speeding up drug discovery, but Eric Ma explains why, without clean data and statistical discipline, it can actually do the opposite.
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NewsZuckerberg's Biohub announces AI-powered biology to accelerate drug discovery
The initiative combines cutting-edge artificial intelligence with large-scale biological data, with the aim to transform how new treatments, drugs and therapies are developed.
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ArticleInside ELRIG Drug Discovery 2025: automation, AI and human-relevant models
At ELRIG’s Drug Discovery 2025, Drug Target Review spoke with the teams turning big ideas into usable tools – automation, AI and biology – that help scientists work smarter.