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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Bibliographic Details
Main Authors: 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.
Format: Artigo
Language:Inglês
Published: National Academy of Sciences 2008
Subjects:
Physical Sciences
Online Access: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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