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Localized Drug Discovery Platform

FromLocalKnowledge.ToModern DrugDiscovery.

Centuries of African plant knowledge, decoded through modern biochemistry. We discover drug candidates from foods, herbs, roots, leaves, and flowers — solving known diseases through localized science.

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Drug Categories
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Plant Compounds
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Disease Targets
The Problem

Millennia of plant knowledge,
locked out of modern science.

African communities have used foods, herbs, roots, leaves, and flowers to treat disease for thousands of years. Modern pharmacology has largely ignored this knowledge base — not because it lacks merit, but because no infrastructure existed to formalize, cross-reference, and validate it at scale.

Documented plant compounds12%
Cross-referenced with diseases4%
Entered clinical pipeline1%

Estimated proportion of known African plant compounds that have reached each stage

Drug Categories

Three pathways.
One discovery engine.

01

Food-based Drugs

Bioactive compounds found in edible plants — phytochemicals, polyphenols, carotenoids, and glucosinolates with documented therapeutic action.

EgusiMoringa leafBitter leafTurmericGinger
02

Herb & Root Drugs

Concentrated alkaloids, terpenoids, and saponins from roots and bark — high-potency candidates with direct pharmacological mechanisms.

African ginger rootAshwagandhaValerianLicorice rootTurmeric root
03

Leaf & Flower Drugs

Flavonoids, anthocyanins, and volatile compounds from aerial plant parts — anti-inflammatory, antimicrobial, and neuroprotective profiles.

Neem leafHibiscusMoringaLavenderChamomile
Discovery Engine

From local plant
to drug candidate.

Biomes maps every compound to its molecular targets, cross-references against known disease pathways, and surfaces the strongest candidates for further research.

01

Compound Cataloguing

Every plant is catalogued with its full bioactive profile — alkaloids, flavonoids, terpenoids, and phenolics.

02

Target Identification

Each compound is mapped to molecular targets: enzymes, receptors, and signalling pathways implicated in known disease states.

03

Disease Mapping

Cross-reference any condition against the compound database to surface all relevant plant-based drug candidates.

04

Evidence Scoring

Candidates are scored by evidence level: traditional use → preclinical → clinical trial → approved.

Methodology

Built on the belief that
local knowledge is data.

We combine ethnobotanical records, phytochemical literature, and AI-assisted compound analysis to build the most comprehensive localized drug discovery database on the continent.

01

Ethnobotanical Records

Centuries of documented traditional use from across the African continent.

02

Phytochemical Analysis

Molecular-level breakdown of bioactive compounds and their pharmacological properties.

03

AI-assisted Discovery

Machine learning cross-references compounds against disease targets at scale.

Start discovering
drug candidates.

Access the full compound database, disease-mapping engine, and AI discovery assistant.

Begin Discovery
COMMUNITY KNOWLEDGE

Know a traditional remedy?

Contribute plant-based remedies from your community. Every submission is reviewed by the Biomes research team and, if validated, added to the compound database.