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SAR and QSAR in Environmental Research Volume 28, 2017 - Issue 6
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Articles

QSAR models for predicting the toxicity of piperidine derivatives against Aedes aegypti

J. P. DoucetITODYS, Paris-Diderot University, UMR 7086, Paris, FranceCorrespondence[email protected]
,
E. PapaQSAR Research Unit in Environmental Chemistry and Ecotoxicology, Department of Theoretical and Applied Science, University of Insubria, Varese, Italy
,
A. Doucet-PanayeITODYS, Paris-Diderot University, UMR 7086, Paris, France
&
J. DevillersCTIS, Rillieux La Pape, France
Pages 451-470 | Received 27 Mar 2017, Accepted 06 May 2017, Published online: 12 Jun 2017

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Amany E. Ragab, Ebtisam T. Badawy, Shaimaa M. Aboukhatwa, Marwa M. Abdel-Aziz, Amal Kabbash & Kamilia A. Abo Elseoud. (2023) Isonicotinic acid N-oxide, from isoniazid biotransformation by Aspergillus niger, as an InhA inhibitor antituberculous agent against multiple and extensively resistant strains supported by in silico docking and ADME prediction. Natural Product Research 37:10, pages 1687-1692.
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S.M. Medvedeva, K.S. Shikhaliev, A.A. Geronikaki, P.I. Savosina, D.S. Druzhilovskiy & V.V. Poroikov. (2022) Computer-aided discovery of pleiotropic effects: Anti-inflammatory action of dithioloquinolinethiones as a case study. SAR and QSAR in Environmental Research 33:4, pages 273-287.
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J. Devillers, V. Sartor, J.P. Doucet, A. Doucet-Panaye & H. Devillers. (2022) In silico prediction of mosquito repellents for clothing application. SAR and QSAR in Environmental Research 33:4, pages 239-257.
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Y. Liu, X. Yu & J. Chen. (2020) Quantitative structure–property relationship of distribution coefficients of organic compounds. SAR and QSAR in Environmental Research 31:8, pages 585-596.
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S. Banerjee, S.A. Amin, S.K. Baidya, N. Adhikari & T. Jha. (2020) Exploring the structural aspects of ureido-amino acid-based APN inhibitors: a validated comparative multi-QSAR modelling study. SAR and QSAR in Environmental Research 31:5, pages 325-345.
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Y. Xia & H. Zhang. (2019) 13C NMR chemical shift prediction of diverse chemical compounds. SAR and QSAR in Environmental Research 30:7, pages 477-490.
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R. Sheikhpour, M. A. Sarram, M. Rezaeian & E. Sheikhpour. (2018) QSAR modelling using combined simple competitive learning networks and RBF neural networks. SAR and QSAR in Environmental Research 29:4, pages 257-276.
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J. Devillers. (2018) Repurposing drugs for use against Zika virus infection. SAR and QSAR in Environmental Research 29:2, pages 103-115.
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Articles from other publishers (6)

Guiyin Zhou, Yao Chen & Ying Tang. (2022) Total Content of Piperidine Analysis in Artane by RP-HPLC Using Pre-Column Derivatization with 4-Toluene Sulfonyl Chloride. Journal of Chromatographic Science 60:7, pages 613-619.
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Lúcio R. Lima, Ruan S. Bastos, Elenilze F. B. Ferreira, Rozires P. Leão, Pedro H. F. Araújo, Samuel S. da R. Pita, Humberto F. De Freitas, José M. Espejo-Román, Edla L. V. S. Dos Santos, Ryan da S. Ramos, Williams J. C. Macêdo & Cleydson B. R. Santos. (2022) Identification of Potential New Aedes aegypti Juvenile Hormone Inhibitors from N-Acyl Piperidine Derivatives: A Bioinformatics Approach. International Journal of Molecular Sciences 23:17, pages 9927.
Crossref
Suvankar Banerjee, Sk Abdul Amin & Tarun Jha. (2022) A fragment-based structural analysis of MMP-2 inhibitors in search of meaningful structural fragments. Computers in Biology and Medicine 144, pages 105360.
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Mohammad Reza Keyvanpour & Mehrnoush Barani Shirzad. (2021) An Analysis of QSAR Research Based on Machine Learning Concepts. Current Drug Discovery Technologies 18:1, pages 17-30.
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Laura M. Saavedra, Gustavo P. Romanelli & Pablo R. Duchowicz. (2019) A non-conformational QSAR study for plant-derived larvicides against Zika Aedes aegypti L. vector. Environmental Science and Pollution Research 27:6, pages 6205-6214.
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J. P. Doucet, A. Doucet‐Panaye & E. Papa. (2019) Topological QSAR Modelling of Carboxamides Repellent Activity to Aedes Aegypti . Molecular Informatics 38:8-9, pages 1900029.
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