Literature DB >> 8558505

A comparative molecular field analysis study of N-benzylpiperidines as acetylcholinesterase inhibitors.

W Tong1, E R Collantes, Y Chen, W J Welsh.   

Abstract

A series of 1-benzyl-4-[2-(N-benzoylamino)ethyl]piperidine derivatives and of N-benzylpiperidine benzisoxazoles has been investigated using the comparative molecular field analysis (CoMFA) approach. These compounds have been found to inhibit the metabolic breakdown of the neurotransmitter acetylcholine (ACh) by the enzyme acetylcholinesterase (AChE) and hence alleviate memory deficits in patients with Alzheimer's Disease by potentiating cholinergic transmission. Development of the CoMFA model considered two separate alignments: (i) alignment I which emphasized the electrostatic fitting of the subject compounds and (ii) alignment II which emphasized their steric fitting. In addition, the inhibitor compounds were considered both as neutral species and as N-piperidine-protonated species. The resulting 3D-QSAR indicates a strong correlation between the inhibitory activity of these N-benzylpiperidines and the steric and electronic factors which modulate their biochemical activity. A CoMFA model with considerable predictive ability was obtained.

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Year:  1996        PMID: 8558505     DOI: 10.1021/jm950704x

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  7 in total

1.  Molecular modeling of the intestinal bile acid carrier: a comparative molecular field analysis study.

Authors:  P W Swaan; F C Szoka; S Oie
Journal:  J Comput Aided Mol Des       Date:  1997-11       Impact factor: 3.686

Review 2.  In Silico Studies in Drug Research Against Neurodegenerative Diseases.

Authors:  Farahnaz Rezaei Makhouri; Jahan B Ghasemi
Journal:  Curr Neuropharmacol       Date:  2018       Impact factor: 7.363

3.  Automated docking of 82 N-benzylpiperidine derivatives to mouse acetylcholinesterase and comparative molecular field analysis with 'natural' alignment.

Authors:  P Bernard; D B Kireev; J R Chrétien; P L Fortier; L Coppet
Journal:  J Comput Aided Mol Des       Date:  1999-07       Impact factor: 3.686

4.  Predicting inhibitors of acetylcholinesterase by regression and classification machine learning approaches with combinations of molecular descriptors.

Authors:  Dmitriy Chekmarev; Vladyslav Kholodovych; Sandhya Kortagere; William J Welsh; Sean Ekins
Journal:  Pharm Res       Date:  2009-07-15       Impact factor: 4.200

5.  Quantitative structure-activity relationship studies of a series of sulfa drugs as inhibitors of Pneumocystis carinii dihydropteroate synthetase.

Authors:  T Johnson; I A Khan; M A Avery; J Grant; S R Meshnick
Journal:  Antimicrob Agents Chemother       Date:  1998-06       Impact factor: 5.191

6.  Anticholinesterase and Antioxidative Properties of Aqueous Extract of Cola acuminata Seed In Vitro.

Authors:  Ganiyu Oboh; Ayodele J Akinyemi; Olasunkanmi S Omojokun; Idowu S Oyeleye
Journal:  Int J Alzheimers Dis       Date:  2014-11-18

7.  Synthesis and biological evaluation of thiophene derivatives as acetylcholinesterase inhibitors.

Authors:  Mohamed M Ismail; Mona M Kamel; Lamia W Mohamed; Samar I Faggal; Mai A Galal
Journal:  Molecules       Date:  2012-06-12       Impact factor: 4.411

  7 in total

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