ToxVerity

AI-Powered Toxicity Intelligence

Reliability-centered computational toxicity screening for early small-molecule discovery.

Current Research Platform

Six Toxicity Endpoints

ToxVerity currently provides endpoint-specific predictions for Ames mutagenicity, hERG blockade, SR-ARE, SR-ATAD5, SR-MMP and SR-p53.

Ames Mutagenicity

Bacterial mutagenicity-related activity for early genotoxicity screening.

hERG Blockade

Potential cardiac hERG potassium-channel blockade.

SR-ARE

Oxidative-stress response through the antioxidant response element.

SR-ATAD5

DNA-damage-associated stress response.

SR-MMP

Mitochondrial membrane-potential disruption.

SR-p53

p53 stress-response pathway activation.

Reliability Layer

Prediction With Context

ToxVerity is designed to report not only what the model predicts, but how much support exists for that prediction.

Calibrated probability

Probability after calibration.

Locked threshold

Endpoint-specific decision threshold.

Uncertainty

Ensemble disagreement.

Applicability domain

Representation by development chemistry.

Nearest similarity

Similarity to training chemistry.

Scaffold novelty

Novel structural scaffold detection.

OOD warning

Distribution-shift warning.

Abstention

No supported binary call when evidence is insufficient.

Workflow

From Structure to Testing Priority

01

Input

SMILES or molecular library.

02

Standardize

Reproducible structure processing.

03

Predict

Endpoint-specific inference.

04

Calibrate

Probability interpretation.

05

Assess reliability

Domain, novelty and uncertainty.

06

Prioritize

Experimental follow-up recommendation.

Access

Pilot Access Is Currently Controlled

The production customer platform is not yet publicly open. Access is currently arranged for research pilots and evaluation engagements.

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