ChemistryAtlas App · Prediction + Cheminformatics
LogD / Ionization-vs-pH Profiler
Calculate pH-dependent ionization, neutral fraction, and estimated LogD from logP plus acid/base pKa values.
App Documentation
LogD / Ionization-vs-pH Profiler
Overview
Calculate pH-dependent ionization, neutral fraction, and estimated LogD from logP plus acid/base pKa values. It is in the Prediction + Cheminformatics category and is intended to estimate molecular properties and cheminformatics relationships before deeper modeling or experiment.
When To Use It
- You need a focused workflow for logd / ionization-vs-ph profiler 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
- Submit one molecule or a small set of molecules, inspect descriptor and alert tables, and use the result to decide whether to continue, redesign, or collect more data.
- 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. Use the output as a structured starting point for chemistry judgment, follow-up calculation, or experimental planning.
How To Interpret Results
- Look for trends and flags rather than single-value certainty; predictions are most useful when compared across analogs.
- 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
logp=3.1
base_pka=8.7
ph=1,2,3,5,6.5,7.4,9,10
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
- Salt / Cocrystal / Form Selection (
salt-cocrystal-form-selection) - Chemical Inventory + SDS Binder (
chemical-inventory-sds-binder) - Reaction Scheme Drawn Stoichiometry (
reaction-scheme-stoichiometry) - Assay / Dose-Response Analysis (
assay-dose-response-analysis) - NMR Data Processor (
nmr-data-processor)
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.