Expert-system comparison of structural determinants of chemical toxicity to environmental bacteria

1994 ◽  
Vol 13 (6) ◽  
pp. 979-1001 ◽  
Author(s):  
Jyotsna Pangrekar ◽  
Herbert S. Rosenkranz ◽  
Gilles Klopman
Keyword(s):  
Expert System ◽  
Chemical Toxicity ◽  
Structural Determinants ◽  
Environmental Bacteria

An Expert System for Prediction of Chemical Toxicity

1992 ◽  
Vol 26 (4) ◽  
pp. 487-495 ◽  
Author(s):  
James P. Hickey ◽  
Andrew J. Aldridge ◽  
Dora R. Passino-Reader ◽  
Anthony M. Frank
Keyword(s):  
Expert System ◽  
Chemical Toxicity

An expert system for FMS control

1993 ◽  
Vol 2 (4) ◽  
pp. 223 ◽  
Author(s):  
Wang Chengen ◽  
Zhu Jianying ◽  
Wei Zhongxin
Keyword(s):  
Expert System

HAZARD: An Expert System for Risk Assessment of Environmental Chemicals

1987 ◽  
Vol 26 (01) ◽  
pp. 13-23 ◽  
Author(s):  
H. W. Gottinger
Keyword(s):  
Expert System ◽  
Structural Information ◽  
Chemical Carcinogenesis ◽  
Structural Features ◽  
Environmental Chemicals ◽  
Chemical Carcinogens ◽  
Carcinogenic Activity ◽  
Current State ◽  
Structure Activity ◽  
Carcinogenic Potential

AbstractThe purpose of this paper is to report on an expert system in design that screens for potential hazards from environmental chemicals on the basis of structure-activity relationships in the study of chemical carcinogenesis, particularly with respect to analyzing the current state of known structural information about chemical carcinogens and predicting the possible carcinogenicity of untested chemicals. The structure-activity tree serves as an index of known chemical structure features associated with carcinogenic activity. The basic units of the tree are the principal recognized classes of chemical carcinogens that are subdivided into subclasses known as nodes according to specific structural features that may reflect differences in carcinogenic potential among chemicals in the class. An analysis of a computerized data base of known carcinogens (knowledge base) is proposed using the structure-activity tree in order to test the validity of the tree as a classification scheme (inference engine).

Induction of Endothelial Tissue Factor by Endotoxin and Its Precursors

1993 ◽  
Vol 70 (04) ◽  
pp. 702-706 ◽  
Author(s):  
Charles F Moldow ◽  
Ronald R Bach ◽  
Katherine Staskus ◽  
Paul D Rick
Keyword(s):  
Tissue Factor ◽  
Lipid A ◽  
Umbilical Vein ◽  
Structural Determinants ◽  
Monophosphoryl Lipid A ◽  
Maximal Induction ◽  
Umbilical Vein Endothelial Cells ◽  
Acyloxyacyl Hydrolase ◽  
Endothelial Tissue ◽  
Specific Mrna

SummaryThe structural determinants of lipopolysaccharide required for the induction of tissue factor in human umbilical vein endothelial cells were studied. Intact lipid A was essential for the induction of tissue factor whereas the incomplete lipid A precursors lipid IVA and lipid X, as well as monophosphoryl lipid A and acyloxyacyl hydrolase-treated lipopolysaccharide, were unable to induce tissue factor and tissue factor specific mRNA. However, the lipid A precursor, lipid IVA, was able to inhibit LPS-mediated induction of tissue factor; structural determinants distal to lipid A were found to be required for maximal induction of tissue factor activity and tissue factor mRNA. The presence of serum in the assay was found to amplify but was not obligate for tissue factor induction by LPS.

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