2021
DOI: 10.1016/j.molstruc.2020.129326
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In silico-driven identification and structural analysis of nitrodihydroquinolinone pesticide candidates with antifungal activity

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Cited by 8 publications
(2 citation statements)
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“…The presence of the ambident electrophilic α,βunsaturated carbonyl framework and its proximity to the nucleophilic ortho-sulfonamido group have long been exploited as templates for the base-mediated cyclization to afford the 2-aryl-1-(alkyl/arylsufonyl)-2,3-dihydroquinolin-4(1H)-ones [27][28][29] with increased propensity to undergo regio-and stereoselective C-3 halogenation [30]. Base-mediated cyclization-condensation with benzaldehyde derivatives, on the other hand, afforded the 2-aryl-1-(arylsulfonyl)-3-benzylidene-2,3-dihydroquinolin-4(1H)-ones [31,32].…”
Section: Synthesis Of O/m/p-(sulfonamido)chalconesmentioning
confidence: 99%
“…The presence of the ambident electrophilic α,βunsaturated carbonyl framework and its proximity to the nucleophilic ortho-sulfonamido group have long been exploited as templates for the base-mediated cyclization to afford the 2-aryl-1-(alkyl/arylsufonyl)-2,3-dihydroquinolin-4(1H)-ones [27][28][29] with increased propensity to undergo regio-and stereoselective C-3 halogenation [30]. Base-mediated cyclization-condensation with benzaldehyde derivatives, on the other hand, afforded the 2-aryl-1-(arylsulfonyl)-3-benzylidene-2,3-dihydroquinolin-4(1H)-ones [31,32].…”
Section: Synthesis Of O/m/p-(sulfonamido)chalconesmentioning
confidence: 99%
“…Vaz and co-workers estimated the biological/toxicological properties of nitrodihydroquinolinone derivatives via machine learning (ML) models [20]. They investigated the synthesized compounds against lots of organisms such as Tobacco mosaic, Bemisia tabaci, Helicoverpa armigera, Agrobacterium tumefaciens, Botrytis fabae, Aspergillus Table 1 Summary of machine learning methods [8]…”
Section: Machine Learning Studiesmentioning
confidence: 99%