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mcp/harbor

UniBio Intelligence changelog

io.github.unibio-intelligence/ubi

3 changes recorded. MCP Harbor re-reads this listing from the official registry every six hours and asks the live server what it exposes, and keeps what changed between one look and the next.

  • llms.txt +2 −1

    https://unibiointelligence.com/llms.txt 

    − - [UniBio Intelligence Selected for Anthropic’s Rare Disease Research Program](https://unibiointelligence.com/blog/anthropic-rare-disease-grant/): Anthropic’s AI for Science program will support RareDose, our project connecting source-traceable evidence with pharmacology modeling for rare disease research.+ - [UniBio Intelligence Achieves Top-Tier Performance in OpenADMET Structure Prediction Challenge](https://unibiointelligence.com/blog/openadmet-cyp-challenge-results/): UniBio Intelligence announces Tier 1 in structure prediction and Tier 2 in time-dependent inhibition in the final OpenADMET CYP Inhibition Challenge results.+ - [UniBio Intelligence Selected for Anthropic’s Rare Disease Research Program](https://unibiointelligence.com/blog/anthropic-rare-disease-grant/): UniBio Intelligence’s RareDose project joins 100 selected projects in Anthropic’s AI for Science rare disease program, with Claude credits supporting six months of research.

  • llms.txt +1 −1

    https://unibiointelligence.com/llms.txt 

    − - [Predicting CYP Inhibition: Lessons from the OpenADMET Challenge](https://unibiointelligence.com/blog/cyp-challenge-interim-results/): How we approached both OpenADMET CYP inhibition tasks, and what unsuccessful experiments in molecular learning, docking, and data curation taught us along the way.+ - [Predicting CYP Inhibition and Structures: What We Learned in OpenADMET](https://unibiointelligence.com/blog/cyp-challenge-interim-results/): Six questions behind our CYP prediction workflows: model ensembles, assay transfer, chemistry, time dependence, and physically plausible protein–ligand structures.

  • llms.txt +3

    https://unibiointelligence.com/llms.txt 

    + - [VHH Repertoires, mRNA Antibody Cocktails, Mucosal Delivery, and ADC Dosing](https://unibiointelligence.com/titer/2026-10-16/): VHH repertoire metadata, orthogonal Fc pairing, pIgR-mediated mucosal enrichment and spatial ADC models connect antibody design to delivery and exposure.+ - [Immunotoxin Selectivity, Nanobody Stability, and Bovine Antibody Engineering](https://unibiointelligence.com/titer/2026-10-09/): Toxin attenuation improves receptor selectivity, sparse features interpret nanobody stability predictions, and bovine knobs reveal scaffold-dependent function.+ - [ADC Pharmacology, Multispecific Assembly, and Nanobody Discovery](https://unibiointelligence.com/titer/2026-10-02/): ADC models separate target binding from payload exposure, while multispecific assembly, VHH design and sequence deposition connect discovery to evidence.
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