Synthesis and bioassay of improved mosquito repellents predicted from chemical structure

Mosquito repellency data on acylpiperidines derived from the U.S. Department of Agriculture archives were modeled by using molecular descriptors calculated by CODESSA PRO software. An artificial neural network model was developed for the correlation of these archival results and used to predict the...

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Autori principali: Katritzky, Alan R., Wang, Zuoquan, Slavov, Svetoslav, Tsikolia, Maia, Dobchev, Dimitar, Akhmedov, Novruz G., Hall, C. Dennis, Bernier, Ulrich R., Clark, Gary G., Linthicum, Kenneth J.
Natura: Artigo
Lingua:Inglês
Pubblicazione: National Academy of Sciences 2008
Soggetti:
Physical Sciences
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC2396717/
https://ncbi.nlm.nih.gov/pubmed/18508970
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0800571105
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