QsarDB
metadata only
Enoch, S.J.; Cronin, M.T.D.; Schultz, T.W.; Madden, J.C. An evaluation of global QSAR models for the prediction of the toxicity of phenols to Tetrahymena pyriformis. Chemosphere 2008, 71, 7, 1225–1232.
This study presents an analysis of the ability of a two-parameter response surface, a multiple linear regression and a neural network model to produce global quantitative structure–activity relationships (QSARs) to predict the toxic potency of phenols to Tetrahymena pyriformis. The phenolic toxici
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Schultz, T.W.; Bearden, A.P.; Jaworska, J.S. A novel QSAR approach for estimating toxicity of phenols. SAR QSAR Environ. Res. 1996, 5, 2, 99–112.#933183
- Piršelová, K.; Baláž, Š.; Schultz, T.W. Model-Based QSAR for Ionizable Compounds: Toxicity of Phenols Against Tetrahymena pyriformis. Arch. Environ. Contam. Toxicol. 1996, 30, 2, 170–177.#933108
- Furuhama, A.; Hasunuma, K.; Aoki, Y. Interspecies quantitative structure–activity–activity relationships (QSAARs) for prediction of acute aquatic toxicity of aromatic amines and phenols. SAR QSAR Environ. Res. 2015, 26, 301–323.#933082
- Sinks, G.D.; Carver, T.A.; Schultz, T.W. Structure-Toxicity Relationships for Aminoalkanols: A Comparison with Alkanols and Alkanamines. SAR QSAR Environ. Res. 1998, 9, 3-4, 217–228.#933131
- Kar, S.; Deeb, O.; Roy, K. Development of classification and regression based QSAR models to predict rodent carcinogenic potency using oral slope factor. Ecotoxicology and Environmental Safety 2012, 82, 85–95.#933175
Record · ID 933060
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive