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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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| Main Authors: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2008
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| Assuntos: | |
| Acesso em linha: | 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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