Medicinal plant intelligence
Search plant and source-organism records, reconcile names, and inspect which compounds are reported for a biological source.
Pharmacognosy connected to computational discovery
Natural-product drug discovery with traceable source evidence.
Connect medicinal plants, phytochemicals, molecular identity, measured bioactivity, protein targets, and disease context—then carry that evidence into ADMET prediction, virtual screening, and candidate prioritization.
Natural productsPharmacognosyPhytochemicalsBioactivityTarget discoveryDrug repurposing
From biological source to molecular hypothesis
Keep plant, compound, target, and disease evidence connected.
Natural-product research often fragments across species names, compound synonyms, source databases, assay records, and prediction tools. MolexIO resolves those records into a reviewable evidence path so a traditional-use signal or database association is not mistaken for measured molecular activity.
Compound identity resolution
Connect names, structures, InChIKey and source references so the same natural compound is not treated as unrelated records.
Measured bioactivity
Preserve assay type, target, units, relation qualifiers, source, and experimental context instead of flattening evidence into an unsupported potency claim.
Target and disease context
Trace compounds to supported protein-target and disease records, then separate direct measurements from indirect associations and predictions.
Property and ADMET profiling
Calculate physicochemical properties, drug-likeness, and supported ADMET endpoints from a resolved molecular structure.
Computational handoff
Move selected phytochemicals into molecular docking, virtual screening, QSAR, pharmacophore, analog, and multi-parameter optimization workflows.
Four discovery entry points
Start with a plant, compound, target, or disease.
- 01
Search
Begin with the biological source or molecular and disease question already known to the research team.
- 02
Resolve
Reconcile taxonomy, compound identity, structures, synonyms, target identifiers, and source records.
- 03
Evaluate
Compare measured bioactivity, physicochemical properties, ADMET predictions, provenance, and missing evidence.
- 04
Advance
Build a traceable library for docking, target-focused screening, analog exploration, assay planning, or reporting.
Scientific boundary
A source association is not proof of therapeutic activity.
The presence of a compound in a plant, a traditional-use record, a target prediction, and a quantitative target assay represent different levels of evidence. MolexIO keeps those distinctions visible. It supports hypothesis generation and candidate prioritization; it does not infer clinical efficacy or invent potency where no quantitative experiment exists.
Turn natural-product records into a defensible discovery workflow.
Bring a medicinal plant, phytochemical, disease area, or protein target and see how MolexIO connects source evidence to computational evaluation.