Assay / Dose-Response Analysis
Estimate IC50/EC50, Hill slope, normalized response, Z-prime, and plate-map QC from dose-response CSV data.
Assay / Dose-Response Analysis
Overview
Estimate IC50/EC50, Hill slope, normalized response, Z-prime, and plate-map QC from dose-response CSV data. It is in the Spectra & Analysis category and is intended to support compound confirmation, chromatographic method planning, and first-pass spectral interpretation.
When To Use It
- You need a focused workflow for assay / dose-response analysis 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
- Provide the molecule, formula, peak list, chromatographic conditions, or instrument context; compare predicted features against measured data; then export the explanation and candidate table.
- 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: model. ChemistryAtlas roadmap MVP: runnable report now; specialist cheminformatics/model backend plugs into this app surface next. Generated 3D/QM inputs are starting points. Review charge, multiplicity, conformer choice, basis/method, solvent model, and convergence criteria before launching expensive calculations.
How To Interpret Results
- Use predictions as confirmation aids, not as replacements for calibrated instrument software, standards, or expert spectral assignment.
- 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
concentration,response
0.001,98
0.01,88
0.1,55
1,18
10,4
unit=uM
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.
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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.
- Model-driven outputs should include model version, training domain, uncertainty, and independent validation before operational use.