# Unobio

Unobio is a translational bioplatform pairing predictive computational models with patient-derived assays — carrying drug programs from target identification to clinical translation with unprecedented speed.

## About

Unobio runs drug-discovery programs on a single program-aware platform that unifies three layers: a computational biology layer built on foundation models, an automated wet lab, and clinical translation. Every program starts from patient data, so candidates are pressure-tested against the biology that matters long before they reach IND.

Unobio currently has eleven active programs, four of them in Phase 1. The company co-develops discovery and translational programs with pharma, foundation, and venture-backed partners.

## Key Capabilities

- **Computational biology layer**: Foundation models prioritise targets and compounds in silico from multi-omic and patient data
- **Patient-derived assays**: Wet-lab validation runs on patient-derived models rather than cell lines optimised for hits in a dish
- **Clinical translation in lockstep**: Computational, experimental, and clinical layers advance together, not sequentially
- **Program-aware platform**: Target discovery through IND-enabling studies and early clinical work in one system

## What Makes Us Different

A self-optimizing research initiative in the optimization of pharma supply, distribution, and value creation. From ecology, to marine biology, to in-silico testing and policy and economic changes, an AI agent pharma ontology built for seeing opportunities throughout the noise.

## Main Pages

- [Home](https://unobio.com/): Overview of Unobio's translational bioplatform and approach
- [Licensing & Pipeline](https://unobio.com/licensing-pipeline): Unobio's active drug-discovery programs and licensing opportunities
- [About](https://unobio.com/about): Unobio's mission to decode biology and engineer the next medicines, and the values that guide the work
- [Careers](https://unobio.com/careers): Open positions for engineers and researchers building the bioplatform
- [Blog](https://unobio.com/blog): Insights on translational drug discovery, computational biology, and clinical translation
- [Contact](https://unobio.com/contact): Get in touch with the Unobio team
- [Partner with Unobio](https://unobio.com/partner): Co-develop discovery and translational programs with the Unobio team — engagements begin with a two-week feasibility sprint

## Blog Articles

- [Workflow, Not Agent: Deep Research an Analyst Can Trust](https://unobio.com/blog/workflow-not-agent-deep-research-an-analyst-can-trust): Deep research demos look perfect while up to six claims in ten are wrong. How we built a biotech diligence pipeline where every claim is traceable, derived, or visibly marked uncertain. (14 min read, Aug 7, 2026)
- [AI Protocol Writing for Clinical Trials: What to Know in 2026](https://unobio.com/blog/ai-protocol-writing-clinical-trials): AI protocol writing for clinical trials is changing how regulatory teams draft and review protocols. A guide to capabilities, limitations, and evaluation criteria. (12 min read, Mar 6, 2026)
- [In Silico Toxicology: How AI Predicts Drug Safety Risks](https://unobio.com/blog/beyond-targets-building-safer-drugs-with-integrated-ai-toxicology-and-experiment-loops): In silico toxicology tools predicted liver toxicity differences between two USP1 inhibitors. Learn how chemotype profiling can de-risk drug safety decisions. (13 min read, Oct 10, 2025)
- [De-risk Drug Target Selection with Data Integration](https://unobio.com/blog/de-risking-target-identification-through-multidimensional-data-integration): 90% of drug candidates fail, often due to poor target selection. This USP1 case study shows how multi-omic data integration reduces late-stage attrition. (7 min read, Sep 1, 2025)
- [Metadata Leakage in Science: Costs, Causes, and Fixes](https://unobio.com/blog/propagation-of-metadata-leakage-in-science): Metadata leakage costs biomedical research billions annually. Learn how unreported experimental variables propagate and what teams can do to reduce it. (9 min read, May 30, 2025)
- [Genomics Quality Control: WGS QC Metrics and Standards](https://unobio.com/blog/standardizing-genomics-quality-controls): Genomics quality control demands standardized metrics. This guide covers 20 WGS QC metrics across FASTQ, BAM, and genomic context, with scoring rationale. (12 min read, May 22, 2025)
- [scRNA-seq Quality Control: 12 Processing Metrics Explained](https://unobio.com/blog/single-cell-rna-seq-processing-metrics): scRNA-seq quality control goes beyond basic filters. Learn 12 metrics that standardize single-cell data evaluation across datasets and institutions. (11 min read, Mar 6, 2025)

## Optional

- [Privacy Policy](https://unobio.com/privacy-policy): Data collection, usage, and protection policies
- [Terms of Use](https://unobio.com/terms-of-use): Terms and conditions for using our services
- [Sitemap](https://unobio.com/sitemap.xml): XML sitemap for search engines

## Contact

- Email: hello@unobio.com
- Website: https://unobio.com
- Schedule a call: https://calendly.com/d/cybh-ktg-pw5