Assessment of effect levels of chemicals from quantitative structure-activity relationship (QSAR) models. I. Chronic lowest-observed-adverse-effect level (LOAEL)

Toxicology Letters

Volumn 79, Issue 1-3, 1995, Pages 131-143

  Mumtaz, M M ^a   Knauf, L A ^a   Reisman, D J ^a   Peirano, W B ^a   DeRosa, C T ^a   Gombar, V K ^b   Enslein, K ^b   Carter, J R ^b   Blake, B W ^b   Huque, K I ^b   Ramanujam, V M S ^c  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^b Health Designs Inc   (United States)

^c UNIVERSITY OF TEXAS MEDICAL BRANCH   (United States)

Author keywords

Chronic toxicity assessment; Lowest ob served adverse effect level (LOAEL); Quantitative structure activity relationship (QSAR) modeling

Indexed keywords

CARCINOGENICITY; CONFERENCE PAPER; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; TOXICITY; TOXICITY TESTING; TOXICOLOGY;

ALGORITHMS; ANIMAL; COMPUTER SIMULATION; DATABASES, FACTUAL; FEASIBILITY STUDIES; HAZARDOUS SUBSTANCES; MODELS, STATISTICAL; RATS; RISK ASSESSMENT; STRUCTURE-ACTIVITY RELATIONSHIP; TIME FACTORS; TOXICITY TESTS;

EID: 0029082966     PISSN: 03784274     EISSN: None     Source Type: Journal    
DOI: 10.1016/0378-4274(95)03365-R     Document Type: Article

References (21)

1. Prediction of probability of carcinongenicity for a set of ongoing NTP bioassays
2. Carcinogenicity of azothioprine: an S-AR investigation
3. Quantitative struc-ture-activity relationship (QSAR) studies using electronic descriptors calculated from topological and molecular orbital (MO) methods
4. Studies of relationships between molecular structure and biological activity by pattern recognition methods
5. Computer-assisted estimation of chronic LOAEL based upon quantitative structure activity relationships (QSAR)
6. Ranking chemicals based on chronic toxicity data
7. The principles of congenericity, a frequently overlooked prerequisite in quantitative structure-activity and structure-toxicity relationship studies
8. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
9. Quantification of molecuar shape and its correlation with physico-chemical properties
10. Shape indices of orders one and three from molecualar graphs
11. The relationship between molecular connectivity and partition coefficients
12. The physical significance of molecular connectivity
13. All possible sub-sets regression
14. Detection of influencial observation in linear regression
15. A structure-biodegradability relationship model by discriminant analysis