Literature DB >> 9291997

A comparative QSAR analysis of acetylcholinesterase inhibitors currently studied for the treatment of Alzheimer's disease.

M Recanatini1, A Cavalli, C Hansch.   

Abstract

Considering the relevance of acetylcholinesterase inhibitors as potential agents for the treatment of the Alzheimer's disease, we have undertaken a comparative QSAR analysis aimed at individuating the physico-chemical properties governing the inhibitory activity of such compounds. The QSAR equations for 13 series of derivatives have been calculated and discussed. The series studied are all those we found in the literature suitable for a QSAR analysis and represent the three main classes of acetylcholinesterase inhibitors currently investigated, namely, physostigmine analogues, 1,2,3,4-tetrahydroacridines and benzylamines. The equations we obtained show that, within each class, the main physico-chemical properties affecting the inhibitory activity are almost the same for all the series and can be individuated by the use of proper parameters. The conclusions of this study can be summarized as follows: (a) hydrophobicity plays a critical role in both the physostigmine- and the benzylamine-derived classes; (b) electronic effects are important for the interactions carried out by the variable portion of benzylamine derivatives; and (c) steric factors are also significant, but, as in other cases, the collinearity between steric and hydrophobic parameters does not allow one to draw any final conclusion.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9291997     DOI: 10.1016/s0009-2797(97)00047-1

Source DB:  PubMed          Journal:  Chem Biol Interact        ISSN: 0009-2797            Impact factor:   5.192


  7 in total

Review 1.  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

2.  Design and synthesis of new piperidone grafted acetylcholinesterase inhibitors.

Authors:  Alireza Basiri; Michelle Xiao; Alec McCarthy; Debashis Dutta; Siddappa N Byrareddy; Martin Conda-Sheridan
Journal:  Bioorg Med Chem Lett       Date:  2016-11-24       Impact factor: 2.823

3.  The 'aromatic patch' of three proximal residues in the human acetylcholinesterase active centre allows for versatile interaction modes with inhibitors.

Authors:  N Ariel; A Ordentlich; D Barak; T Bino; B Velan; A Shafferman
Journal:  Biochem J       Date:  1998-10-01       Impact factor: 3.857

4.  ABCpred: a webserver for the discovery of acetyl- and butyryl-cholinesterase inhibitors.

Authors:  Aijaz Ahmad Malik; Suvash Chandra Ojha; Nalini Schaduangrat; Chanin Nantasenamat
Journal:  Mol Divers       Date:  2021-10-05       Impact factor: 2.943

5.  Benefits of statistical molecular design, covariance analysis, and reference models in QSAR: a case study on acetylcholinesterase.

Authors:  C David Andersson; J Mikael Hillgren; Cecilia Lindgren; Weixing Qian; Christine Akfur; Lotta Berg; Fredrik Ekström; Anna Linusson
Journal:  J Comput Aided Mol Des       Date:  2014-10-29       Impact factor: 3.686

6.  Machine learning models for predicting the activity of AChE and BACE1 dual inhibitors for the treatment of Alzheimer's disease.

Authors:  G Dhamodharan; C Gopi Mohan
Journal:  Mol Divers       Date:  2021-07-29       Impact factor: 2.943

7.  QSAR studies on N-aryl derivative activity towards Alzheimer's disease.

Authors:  Kamalakaran Anand Solomon; Srinivasan Sundararajan; Veluchamy Abirami
Journal:  Molecules       Date:  2009-04-07       Impact factor: 4.411

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.