Technology

From AI to Real Binders

Novorex resolves virtual-hit inefficiency and false-positive risk by combining AI prediction, FBDD, and biophysical validation into a quality-driven discovery engine.

01 / Quality-Driven Hit Identification

Quality-driven hit identification

Novorex resolves virtual-hit inefficiency and false-positive risk by combining AI prediction, FBDD, and direct biophysical assay validation.

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Global Pharma Standard for Hit Validation

AI PredictionPrioritize molecules with structure-aware screening

FBDDFragment-based hit finding and design

Biophysical ValidationDirect evidence through SPR, NMR, and X-ray

OptimizationAdvance validated binders with lower risk

Outcome 01

Real Binder Selection

Minimize development risk by eliminating non-specific binders and false positives before they move into expensive downstream work.

Outcome 02

Meeting Global Big Pharma Standards

Generate biophysical data packages aligned with technology transfer, co-development, and partner evaluation expectations.