Literature DB >> 16488605

QSAR study of mosquito repellents using Codessa Pro.

Alan R Katritzky1, Dimitar A Dobchev, Indrek Tulp, Mati Karelson, David A Carlson.   

Abstract

Protection times provided by 31 synthetic repellents against Aedes aegypti mosquitoes were correlated with the chemical structures of these repellents using Codessa Pro software. Two statistically significant quantitative models with R2 values of ca. 0.80 are presented and discussed.

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Year:  2006        PMID： 16488605     DOI： 10.1016/j.bmcl.2005.11.113

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN： 0960-894X            Impact factor:   2.823


  7 in total

1.  Application of molecular topology to the prediction of mosquito repellents of a group of terpenoid compounds.

Authors:  R García-Domenech; J Aguilera; A El Moncef; S Pocovi; Jorge Gálvez
Journal:  Mol Divers       Date:  2009-07-04       Impact factor: 2.943

2.  2D and 3D QSAR studies of diarylpyrimidine HIV-1 reverse transcriptase inhibitors.

Authors:  Joseph Rebehmed; Florent Barbault; Cátia Teixeira; François Maurel
Journal:  J Comput Aided Mol Des       Date:  2008-05-28       Impact factor: 3.686

3.  Problems with molecular mechanics implementations on the example of 4-benzoyl-1-(4-methyl-imidazol-5-yl)-carbonylthiosemicarbazide.

Authors:  Agata Siwek; Katarzyna Swiderek; Stefan Jankowski
Journal:  J Mol Model       Date:  2011-05-28       Impact factor: 1.810

4.  Development of a QSPR model for predicting thermal stabilities of nitroaromatic compounds taking into account their decomposition mechanisms.

Authors:  Guillaume Fayet; Patricia Rotureau; Laurent Joubert; Carlo Adamo
Journal:  J Mol Model       Date:  2010-12-21       Impact factor: 1.810

5.  Synthesis and bioassay of improved mosquito repellents predicted from chemical structure.

Authors:  Alan R Katritzky; Zuoquan Wang; Svetoslav Slavov; Maia Tsikolia; Dimitar Dobchev; Novruz G Akhmedov; C Dennis Hall; Ulrich R Bernier; Gary G Clark; Kenneth J Linthicum
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-27       Impact factor: 11.205

Review 6.  In silico models for predicting vector control chemicals targeting Aedes aegypti.

Authors:  J Devillers; C Lagneau; A Lattes; J C Garrigues; M M Clémenté; A Yébakima
Journal:  SAR QSAR Environ Res       Date:  2014-10-02       Impact factor: 3.000

7.  Synthesis, Antifungal Activity, Cytotoxicity and QSAR Study of Camphor Derivatives.

Authors:  Xinying Duan; Li Zhang; Hongyan Si; Jie Song; Peng Wang; Shangxing Chen; Hai Luo; Xiaoping Rao; Zongde Wang; Shengliang Liao
Journal:  J Fungi (Basel)       Date:  2022-07-22
  7 in total

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