Biomedical Text Mining and Ontologies
Moving in bioRxiv, medRxiv, Biotechnology advances, Frontiers in Genetics, Bioinformatics, Cell Reports, Genome Biology and Nature.
- Moved, week to 23 Oct 2026
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- Papers in 60 days
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Latest in Biomedical Text Mining and Ontologies
Newest first · last 60 days
Gene Ontology priors in biologically-informed neural networks mainly organize activations into meaningful units rather than improving performance, with the most promising approach being soft-link encoders.
- Open access
ddkg.skill enables accurate biomedical and bioinformatics queries on the NIH DDKG with 38 files and 239 routing relationships, achieving correct results in 5 of 7 tests.
- Open access
SNACKKSS predicts pharmacologic gene regulators with high accuracy, identifying protein-inhibiting compounds by integrating RNA-Seq and literature data.
- Open access
Translation engineering enables precise control of gene expression by modulating initiation, elongation, and termination phases, crucial for synthetic biology applications.
Dynamic rewiring of protein interaction networks occurs over time in a mouse model of tauopathy, with phosphorylation-dependent shifts in protein interactomes observed during disease progression.
- Open access
Embeddings from genome and protein language models can predict biological features like variant severity, boundaries, homology, and structure, offering high-resolution insights.
GOReverseLookup identified 37 candidate genes at the osteoporosis-sarcopenia interface, including less-characterized genes like RBCK1, LGALS9, ZBTB7A, and RPS3.
- Open access
Paper2Agent converts research papers into interactive AI agents, enabling complex scientific queries and collaboration with over 80% accuracy in reproducing original results.
- Open access
- 1 cites
Genolator, a multimodal large language model, achieves high accuracy in answering protein function queries, outperforming GPT 4.1 and smaller domain-specific models.
- Open access
A methodological framework for real-world performance studies of clinical variant classification platforms at early organizational stages is proposed, involving 97 cases across three classifier versions.
- Open access
- 1 cites
Large language models accessing the DGIdb API via the MCP server significantly enhance their ability to answer up-to-date biomedical questions about the druggable genome.
- Open access
Novel document-level uncertainty aggregation strategies significantly improve active learning performance in ontology curation, with KPSum showing consistent gains over random sampling.
- Open access
- 1 cites
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Topics moving, week to 23 Oct 2026
- Single-cell and spatial transcriptomics6
- Neuroinflammation and Neurodegeneration Mechanisms5
- Bacteriophages and microbial interactions5
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- Cancer Immunotherapy and Biomarkers4
- Alzheimer's disease research and treatments3
- Inflammatory Bowel Disease3
- Influenza Virus Research Studies3