Quantum-chemical Structure-Activity Relationships in carbamate insecticides

1995 ◽  
Vol 5 (4) ◽  
pp. 391-401 ◽  
Author(s):  
Juan S. Gomez-Jeria ◽  
Mario Ojeda-Vergara ◽  
Carlos Donoso-Espinoza
2020 ◽  
Vol 7 (8) ◽  
pp. 200545
Author(s):  
Tatsuto Kiwada ◽  
Hiromu Katakasu ◽  
Serina Okumura ◽  
Akira Odani

Proteasome inhibitors are useful for biochemical research and clinical treatment. In our previous study, we reported that the 4N-coordinated platinum complexes with anthracenyl ring and heterocycle exhibited proteasome-inhibitory activity. In the present study, the structure–activity relationships and characterization of these complexes were determined for the elucidation of the role of aromatic ligands. Lineweaver–Burk analysis revealed that the chemical structure of heterocycles affects the binding mode of platinum complexes. Platinum complexes with anthracenyl ring and pyridine showed competitive inhibition, although platinum complexes with anthracenyl ring and phenanthroline showed non-competitive inhibition. The structure–activity relationships demonstrated that anthracenyl moiety plays a crucial role in proteasome-inhibitory activity. The platinum complexes with naphthyl or phenyl rings exhibited lower inhibitory activities than the platinum complex with anthracenyl ring. The reactivity with N-acetylcysteine varied according to the chemical structure of complexes.


1993 ◽  
Vol 48 (3-4) ◽  
pp. 345-349 ◽  
Author(s):  
T. Akagi ◽  
N. Sakashita

Common structural features were investigated for “light-dependent herbicides” (LDH s, also called peroxidizing or photobleaching herbicides). Quantum chemical calculations of 143 herbicidal compounds revealed that LUMO levels of LDH s were similar and strikingly low. Using the LUMO position as an anchor, presumably known structure-activity relationships could be explained. Overall molecular similarity between oxyfluorfen and chlorophthalim was examined by molecular field fitting. The result supported LUMO position correspondence.


2002 ◽  
Vol 30 (2_suppl) ◽  
pp. 81-84 ◽  
Author(s):  
Mark T.D. Cronin

The current status of quantitative structure–activity relationships (QSARs) in predicting toxicity is assessed. Widespread use of these methods to predict toxicity from chemical structure is possible, both by industry to develop new compounds, and also by regulatory agencies. The current use of QSARs is restricted by the lack of suitable toxicity data available for modelling, the unsuitability of simplistic modelling approaches for the prediction of certain endpoints, and the poor definition and utilisation of the applicability domain of models. Suggestions to resolve these issues are made.


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