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

QSAR model for prediction of the therapeutic potency of N-benzylpiperidine derivatives as AChE inhibitors

S. BitamDepartment of Process Engineering and Environment, Université Dr Yahia Fares de Médéa, Médéa, AlgeriaCorrespondence[email protected]
,
M. HamadacheDepartment of Process Engineering and Environment, Université Dr Yahia Fares de Médéa, Médéa, Algeria
&
S. HaniniDepartment of Process Engineering and Environment, Université Dr Yahia Fares de Médéa, Médéa, Algeria
Pages 471-489 | Received 15 Feb 2017, Accepted 14 May 2017, Published online: 14 Jun 2017

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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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S. Bitam, M. Hamadache & H. Salah. (2020) 2D QSAR studies on a series of (4S,5R)-5-[3,5-bis(trifluoromethyl)phenyl]-4-methyl-1,3-oxazolidin-2-one as CETP inhibitors. SAR and QSAR in Environmental Research 31:6, pages 423-438.
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M. Saxena, S. Nandi & A.K. Saxena. (2019) QSAR and molecular docking studies of lethal factor protease inhibitors against Bacillus anthracis. SAR and QSAR in Environmental Research 30:10, pages 715-731.
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S. Bitam, M. Hamadache & S. Hanini. (2018) Prediction of therapeutic potency of tacrine derivatives as BuChE inhibitors from quantitative structure–activity relationship modelling. SAR and QSAR in Environmental Research 29:3, pages 213-230.
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Articles from other publishers (9)

Affaf Khaouane, Samira Ferhat & Salah Hanini. (2023) A Quantitative Structure-Activity Relationship for Human Plasma Protein Binding: Prediction, Validation and Applicability Domain. Advanced Pharmaceutical Bulletin 13:4, pages 784-791.
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Le-Quang Bao, Daniel Baecker, Do Thi Mai Dung, Nguyen Phuong Nhung, Nguyen Thi Thuan, Phuong Linh Nguyen, Phan Thi Phuong Dung, Tran Thi Lan Huong, Bakhtiyor Rasulev, Gerardo M. Casanola-Martin, Nguyen-Hai Nam & Hai Pham-The. (2023) Development of Activity Rules and Chemical Fragment Design for In Silico Discovery of AChE and BACE1 Dual Inhibitors against Alzheimer’s Disease. Molecules 28:8, pages 3588.
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Mihajlo J. Krunić, Jelena Z. Penjišević, Relja V. Suručić, Sandra Šegan, Slađana V. Kostić-Rajačić & Ivana I. Jevtić. (2023) Structure-activity and binding orientations analysis of potent, newly synthesized, acetylcholinesterase inhibitors. Journal of Molecular Structure 1276, pages 134809.
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Mohsen Nekoeinia & Saeed Yousefinejad. (2021) QSAR analysis of the acetylcholinesterase inhibitory activity of some tertiary amine derivatives of cinnamic acid. Structural Chemistry 32:3, pages 1123-1132.
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Anil K. Saxena & Muneer Alam. (2020) ATP Synthase Inhibitors as Anti-tubercular Agents: QSAR Studies in Novel Substituted Quinolines. Current Topics in Medicinal Chemistry 20:29, pages 2723-2734.
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Kiran Bagri, Ashwani Kumar, Manisha & Parvin Kumar. (2020) Computational Studies on Acetylcholinesterase Inhibitors: From Biochemistry to Chemistry. Mini-Reviews in Medicinal Chemistry 20:14, pages 1403-1435.
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Tiziana Ginex, Javier Vazquez, Enric Gilbert, Enric Herrero & Francisco J Luque. (2019) Lipophilicity in drug design: an overview of lipophilicity descriptors in 3D-QSAR studies. Future Medicinal Chemistry 11:10, pages 1177-1193.
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Mabrouk Hamadache, Othmane Benkortbi, Salah Hanini & Abdeltif Amrane. (2017) QSAR modeling in ecotoxicological risk assessment: application to the prediction of acute contact toxicity of pesticides on bees (Apis mellifera L.). Environmental Science and Pollution Research 25:1, pages 896-907.
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Amit Kumar Halder, Ana S. Moura & M. Natália D. S. Cordeiro. 2019. Multi-Target Drug Design Using Chem-Bioinformatic Approaches. Multi-Target Drug Design Using Chem-Bioinformatic Approaches 155 186 .

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