Predictability and prediction of lowest observed adverse effect levels in a structurally heterogeneous set of chemicals
Author:
Publisher
Informa UK Limited
Subject
Drug Discovery,Molecular Medicine,General Medicine,Bioengineering
Link
http://www.tandfonline.com/doi/pdf/10.1080/10659360500036927
Reference22 articles.
1. Assessment of effect levels of chemicals from quantitative structure-activity relationship (QSAR) models. I. Chronic lowest-observed-adverse-effect level (LOAEL)
2. From Molecular Connectivity Indices to Semiempirical Connectivity Terms: Recent Trends in Graph Theoretical Descriptors
3. Application of Topological Descriptors in QSAR and Drug Design: History and New Trends
4. Modeling Boiling Points of Cycloalkanes by Means of Iterated Line Graph Sequences
5. Table of Periodic Properties of Fullerenes Based on Structural Parameters
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3. In Silico Models for Repeated-Dose Toxicity (RDT): Prediction of the No Observed Adverse Effect Level (NOAEL) and Lowest Observed Adverse Effect Level (LOAEL) for Drugs;Methods in Molecular Biology;2022
4. Integrated In Silico Models for the Prediction of No-Observed-(Adverse)-Effect Levels and Lowest-Observed-(Adverse)-Effect Levels in Rats for Sub-chronic Repeated-Dose Toxicity;Chemical Research in Toxicology;2020-07-15
5. The study of the index of ideality of correlation as a new criterion of predictive potential of QSPR/QSAR-models;Science of The Total Environment;2019-04
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