ChemistryAtlas App · AI Synthesis
Reaction Template Explorer
Canonicalize, score, and test reaction SMARTS templates with RDKit now and RDChiral/RDCanon when installed.
App Documentation
Reaction Template Explorer
Overview
Canonicalize, score, and test reaction SMARTS templates with RDKit now and RDChiral/RDCanon when installed. It is in the AI Synthesis category and is intended to support route ideation, reaction prediction, context recommendation, and synthesis risk review.
When To Use It
- You need a focused workflow for reaction template explorer without leaving ChemistryAtlas.
- You want a result that can be saved, shared, or chained into another chemistry app.
- You want the calculation assumptions and limitations visible next to the output.
Inputs
text- Chemistry input - type: textarea - Use formulas, names, SMILES-like text, reactions, or key=value options. Heavier engines will plug into this same app surface.
Recommended Workflow
- Enter targets, reactants, products, or conditions; review ranked routes or predicted outcomes; then validate against literature, availability, safety, and your lab's capabilities.
- Start with the smallest representative input, confirm the parser understood it, then scale to a larger list or workflow.
- Save the generated report when the result will feed a notebook entry, route review, model comparison, or team discussion.
Outputs
- A Markdown-style chemistry report with parsed inputs, assumptions, and calculated or predicted results.
- Structured tables when the app returns multiple compounds, reagents, routes, peaks, candidates, or model rows.
- Warnings, fallback notes, and sidecar availability messages when a specialized engine is not installed or not reachable.
Method And Backend Notes
This app has a runnable ChemistryAtlas backend path. Backend type: utility. ChemistryAtlas roadmap MVP: runnable report now; specialist cheminformatics/model backend plugs into this app surface next. When ASKCOS/RDChiral/RDCanon sidecars are available, this app can use them; otherwise it keeps a deterministic local report surface so chemists can still triage inputs.
How To Interpret Results
- AI synthesis output is a hypothesis generator. A route is useful only after a chemist checks selectivity, workup, purification, hazards, and precedent.
- Compare results across related molecules, controls, blanks, literature examples, or known reactions whenever possible.
- For decisions that affect safety, synthesis scale-up, biological testing, purchasing, or publication, verify with primary data and expert review.
Example Input
template=[C:1](=[O:2])[O;H1:3].[N:4]>>[C:1](=[O:2])[N:4]
reactants=CC(=O)O.NC
Common Checks Before Acting
- Confirm names, salts, stereochemistry, tautomers, protonation state, and hydration state.
- Check units, concentrations, equivalent definitions, and significant figures.
- Record external database versions, model versions, sidecar availability, and any manual edits made after the app output.
Related Apps
- Forward Reaction Predictor Pro (
forward-reaction-predictor-pro) - Retrosynthesis Planner Pro (
retrosynthesis-planner-pro) - Reaction Context Recommender (
reaction-context-recommender) - Impurity / Side Product Predictor (
impurity-side-product-predictor) - Route Scorer (
route-scorer)
Acknowledgements And Validation
- ChemistryAtlas documentation and UI were prepared for chemistry discovery workflows.
- Where available, calculations may use open-source cheminformatics, reaction-informatics, spectra, docking, or machine-learning engines such as RDKit-family tooling, ASKCOS-style sidecars, ChemProp, ms-pred/ICEBERG, PyScreener, and MolPAL.
- Always verify important results against primary literature, official SDS records, instrument software, validated models, and local laboratory procedures.