Getting Started
Getting Started with ToxIndex
This guide covers everything from your first login to exporting assessment results.
Before you start
You’ll need three things:
- A ToxIndex account (reach out to sales@toxindex.com for access)
- Chemical identifiers for the substances you want to assess: CAS numbers, SMILES strings, InChIKeys, or IUPAC names work
- Your regulatory context (REACH, TSCA, cosmetics regulation) so ToxIndex can tailor the assessment
Your first query
The quickest way to get started is the conversational interface. Log in, open Sage, and ask a question about a specific chemical.
Try something like: “What hazard data exists for CAS 80-05-7?” (that’s bisphenol A).
ToxIndex searches the knowledge graph and returns available experimental data, regulatory classifications, and study references for the substance. From there, you can ask follow-ups. For example: “What are the data gaps for a REACH registration at the 100-1000 tonne band?” The system compares available data against REACH Annex IX/X requirements and shows you what’s missing.
Running a full assessment
For a complete, reproducible assessment, use Flow’s pipeline system.
- Specify your regulatory context (REACH tonnage band, TSCA PMN, cosmetics safety report)
- Enter your substance identifier
- ToxIndex runs the full pipeline: data gathering from the knowledge graph and regulatory document search, gap analysis, computational predictions for missing endpoints, weight-of-evidence evaluation, and report generation
- You’ll get a notification when it’s done
The pipeline handles sequencing automatically. You don’t need to decide which tools to run or in what order.
Reading the results
Results are organized by endpoint. For each one, you’ll see:
- Experimental data from the knowledge graph with source citations, study quality scores, and key results (NOAEL, LD50, positive/negative outcome)
- Computational predictions with confidence levels, applicability domain assessment, and which model(s) were used
- Read-across evidence from structural analogs identified by the knowledge graph and QSAR Toolbox, with similarity scores and justification
- Weight-of-evidence conclusion combining all the above into a synthesized assessment with an overall confidence rating
- Audit trail showing every data query, model run, and decision point that produced the result
Digging deeper
Click any endpoint result to expand the full evidence chain.
- Experimental data shows the original study reference, species, route, duration, and result with units
- Predictions show the model name, version, training data summary, applicability domain analysis, and uncertainty bounds
- Read-across shows analog structures, similarity metrics, available data for each analog, and the rationale
Everything links back to its source in the knowledge graph or regulatory document search. You can always trace a finding to its origin.
Exporting
- IUCLID format for direct submission to ECHA (REACH, BPR)
- PDF report for internal review or regulatory communication
- CSV or JSON for integration with your own systems
- Audit trail export for QA review or regulatory inspection