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SAR and QSAR in Environmental Research Volume 33, 2022 - Issue 4: Special Issue in Memoriam of Professor Jean-Pierre Doucet (1935-2022)
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Research Article

In silico prediction of mosquito repellents for clothing application

J. Devillersa CTIS, Rillieux-La-Pape, FranceCorrespondence[email protected]
,
V. Sartorb Laboratoire des IMRCP, Université de Toulouse, Toulouse, France
,
J.P. Doucetc Université de Paris, ITODYS, CNRS, Paris, France
,
A. Doucet-Panayec Université de Paris, ITODYS, CNRS, Paris, France
&
H. Devillersd SPO, Univ Montpellier, INRAE, Institut Agro, Montpellier, France
Pages 239-257 | Received 03 Mar 2022, Accepted 30 Mar 2022, Published online: 09 May 2022

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J. Wang, H. Si, Y. Liu, J. Song, P. Wang, H. Luo, S. Chen, G. Fan, X. Rao, Z. Wang & S. Liao. (2022) Experimental evaluation and structure–activity relationship analysis of bridged-ring terpenoid derivatives as novel Blattella germanica repellent. SAR and QSAR in Environmental Research 33:12, pages 969-986.
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J. Devillers, V. Sartor & H. Devillers. (2022) Predicting mosquito repellents for clothing application from molecular fingerprint-based artificial neural network SAR models. SAR and QSAR in Environmental Research 33:9, pages 729-751.
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