Predictive safety intelligence for chemicals and advanced materials
QSAR Lab's two prediction platforms bring 35 validated models under one roof, with OECD-aligned documentation and applicability domain checks — so you can screen more substances across more endpoints.
Physicochemical, environmental and toxicological properties of conventional chemicals — primarily organic molecules.
Human-relevant toxicity endpoints for Innovative Advanced Materials, including engineered nanomaterials.
One system. Two domains.
Molecules and nanoforms require different modelling approaches. QLsystems brings both under one access and documentation framework, while keeping each platform native to its domain.
Different inputs
QLchemicals uses molecular structure as input. QLmaterials uses measured nanoform properties such as particle size, shape and crystal structure.
One documentation standard
Every model includes a QMRF aligned with OECD validation principles, covering the endpoint, algorithm, applicability domain, fit, robustness and predictivity.
One access model
Token-based, with no subscription or software installation required. One prediction uses one token.
Transparent limitations
Model limitations, including small validation sets or synthetic oversampling, are clearly reported in the catalogue.
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Endpoints in the platform
Four model families
From structure to documented prediction
The six TiO₂ endpoints
Scope
From material definition to a QPRF report
One prediction
1 token
per model prediction, in either platform
from $9.99
per token, USD · academic discounts on request
Ask about academic pricingEvery model, in the open
Explore all 35 models with full statistics, applicability domains and source documentation. Filter by platform, family, model type or computational workflow.
