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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Ditto Bio
Ditto Bio

Ditto Bio

Founded by Dennis Sun & PhD in 2026

Discover autoimmune drugs by analyzing parasite biology

Pricing model

Paid

Time to value

Requires Expertise

You can use Ditto Bio to identify novel therapeutic drug candidates for autoimmune diseases by studying how parasites interact with human hosts. The system analyzes proteins from organisms like viruses, ticks, and worms that have naturally evolved to calm the human immune response. By combining computational models with laboratory experiments, research teams screen thousands of natural proteins to find promising leads. This allows biopharma teams to discover targeted treatments for conditions like rheumatoid arthritis, lupus, Crohn's disease, and eczema without relying solely on traditional synthetic chemical screening methods.

What Ditto Bio does

Screen biological datasets for active therapeutic proteinsAnalyze parasite genomic and proteomic sequencesIdentify drug targets for hyperactive immune disordersModel host-pathogen molecular interactionsEvaluate computational predictions with laboratory testingPrioritize lead candidates for preclinical autoimmune drug trialsScreens parasite proteins to find immunosuppressive propertiesIdentifies natural drug candidates from viruses, ticks, and wormsAnalyzes host-pathogen interactions using computational biologyCombines laboratory experimentation with predictive computational modelsTargets autoimmune conditions including lupus, rheumatoid arthritis, and Crohn's diseaseBuilds predictive models to run design-build-test-learn drug cycles

Pricing breakdown

Pricing model: Paid

Frequently asked

REST API for data export, Python SDK for bioinformaticians, Jupyter Notebook integration, AWS S3 for data storage, Unverified (Proprietary Lab LIMS), Unverified (Bioinformatics pipelines)

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Ditto Bio, autoimmune drug discovery, parasite biology, computational biology, therapeutic proteins, host pathogen interactions, bioinformatics, immune modulation, biotech AI, autoimmune therapies, parasite proteomics, drug candidate screening, rheumatoid arthritis therapeutics, disease target identification, machine learning drug discovery