Data4Cure AI Target Intelligence
AI Solution · Prioritization

Rank targets on evidence, not opinion.

Multidimensional, ontology-aware target prioritization across thousands of datasets — every score traceable to its supporting evidence.

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Overview

Target Intelligence

Most target discovery starts the same way — a literature search, a handful of public datasets, weeks of manual triage, and a shortlist only its authors can defend. Target Intelligence replaces that with a systematic engine that scores every protein-coding gene against the world’s biomedical evidence.

It integrates expression, genetics, perturbation, pathway membership, druggability and literature into a single ranked, ontology-aware view of the target landscape.

Each candidate carries its full evidence trail — drill from a rank straight into the datasets, statistics and publications that support it.

Evidence → score

Many evidence types, one integrated score.

Target Intelligence scores every protein-coding gene against the CURIE Knowledge Graph™ using two model families — KG embedding models that capture the graph’s relational geometry, and KG foundation models that add pretrained, mechanism-aware scoring.

Many specific evidence types fold into one ranked, provenance-tracked score — aggregated ontology-aware and in the context of your disease.

CURIE KNOWLEDGE GRAPH · 4B+ RELATIONS KG FOUNDATION MODEL EVIDENCE TYPES → INTEGRATED SCORE HUMAN GENETICS LITERATURE & TEXT DIFFERENTIAL EXPRESSION PERTURBATION / FUNCTIONAL PATHWAY & MECHANISM TISSUE / CELL SPECIFICITY TRACTABILITY THERAPEUTIC PRECEDENT INTEGRATED TARGET SCORE
Why it’s different
4B+ relationships reasoned over
KG foundation and evidence-ranking models trained on the CURIE Knowledge Graph itself — not limited to a literature-ranked scorer.
Every protein-coding gene, scored
Systematic, genome-wide ranking against the full evidence landscape — comparing different models and hundreds of evidence types side by side.
Every call provenance-linked
Drill from any rank straight to the source studies that support it.
Worked example · ADC/TCE

61 ADC/TCE targets, ranked on evidence.

Asked which antibody–drug-conjugate and T-cell-engager targets the evidence actually supports, Target Intelligence ranked 61 known ADC/TCE targets straight from the CURIE Knowledge Graph — every score tracing to a value the platform returned, with no model priors.

9
Tier 1 · validated
15
Tier 2 · well-supported
20
Tier 3 · emerging
17
Tier 4 · limited

It even surfaces the axis that decides modality fit: homogeneity. Low surface homogeneity is partly forgiven for bystander-payload ADCs — but a serious liability for T-cell engagers. The same target can read as an ADC opportunity and a TCE risk.

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