All Bioinformatics articles
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NewsGinkgo Bioworks launches ADME-One platform for early-stage screening
Ginkgo Bioworks has launched ADME-One, an integrated platform combining high-throughput ADME testing with AI-powered human pharmacokinetic projections.
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NewsAI platform identifies novel gp130 inhibitor for colorectal cancer
An AI-assisted drug discovery platform using transfer learning has identified a promising gp130 inhibitor for colorectal cancer.
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NewsAI identifies 23 antiviral candidates for Bundibugyo Ebola strain
US researchers have deployed artificial intelligence and molecular docking software to identify 23 antiviral compounds with potential activity against Bundibugyo Ebolavirus, as the rare strain continues to spread in the Democratic Republic of Congo with a fatality rate approaching 40 percent.
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ArticleWhy AI models need patient data to deliver in drug discovery
Despite rapid advances in AI, many drug discovery models still struggle to translate computational predictions into clinical outcomes. Thomas Clozel explains how Owkin is training AI on large-scale patient-derived data while integrating experimental and clinical validation directly into model development.
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ArticleTurning GWAS signals into drug targets with scalable CRISPR
Genome-wide association studies have linked thousands of genetic variants to disease, yet most remain disconnected from drug-relevant biology. Neville Sanjana, Professor at New York University and Core Faculty Member at the New York Genome Center, explains how scalable CRISPR screens systematically link noncoding variants to causal genes and therapeutic targets.
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NewsOutSee wins Longitude Prize award for ALS target discovery
OutSee has secured a Discovery Award from the Longitude Prize on ALS, providing £100,000 in funding and access to genomic data from 9,000 patients. The company will deploy its AI-driven Nomaly platform to identify novel therapeutic targets for amyotrophic lateral sclerosis over a nine-month research programme.
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NewsNew RNA sequencing method reveals molecular structures at single-molecule resolution
A*STAR scientists have developed sm-PORE-cupine, a nanopore-based sequencing method that maps individual RNA structures at single-molecule resolution.
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NewsAI system transforms weak antibiotics into powerful treatments
University of Pennsylvania researchers have developed ApexGO, an AI system that refines imperfect antibiotic candidates through calculated modifications rather than database screening.
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NewsAI system reduces animal testing in drug discovery by 50 percent
German researchers have developed genESOM, a generative AI system that could reduce animal numbers in preclinical drug testing by 30 to 50 percent.
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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.