Literature DB >> 22587543

Combined QSAR studies of inhibitor properties of O-phosphorylated oximes toward serine esterases involved in neurotoxicity, drug metabolism and Alzheimer's disease.

G F Makhaeva1, E V Radchenko, I I Baskin, V A Palyulin, R J Richardson, N S Zefirov.   

Abstract

Oxime reactivation of serine esterases (EOHs) inhibited by organophosphorus (OP) compounds can produce O-phosphorylated oximes (POXs). Such oxime derivatives are of interest, because some of them can have greater anti-EOH potencies than the OP inhibitors from which they were derived. Accordingly, inhibitor properties of 58 POXs against four EOHs, along with pair-wise selectivities between them, have been analysed using different QSAR approaches. EOHs (with their abbreviations and consequences of inhibition in parentheses) comprised acetylcholinesterase (AChE: acute neurotoxicity; cognition enhancement), butyrylcholinesterase (BChE: inhibition of drug metabolism or stoichiometric scavenging of EOH inhibitors; cognition enhancement), carboxylesterase (CaE: inhibition of drug metabolism or stoichiometric scavenging of EOH inhibitors), and neuropathy target esterase (NTE: delayed neurotoxicity). QSAR techniques encompassed linear regression and backpropagation neural networks in conjunction with fragmental descriptors containing labelled atoms, Molecular Field Topology Analysis (MFTA), Comparative Molecular Similarity Index Analysis (CoMSIA), and molecular modelling. All methods provided mostly consistent and complementary information, and they revealed structural features controlling the 'esterase profiles', i.e. patterns of anti-EOH activities and selectivities of the compounds of interest. In addition, MFTA models were used to design a library of compounds having a cognition-enhancement esterase profile suitable for potential application to the treatment of Alzheimer's disease.

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Year:  2012        PMID: 22587543     DOI: 10.1080/1062936X.2012.679690

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  7 in total

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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

Review 3.  In Silico Models for Predicting Acute Systemic Toxicity.

Authors:  Ivanka Tsakovska; Antonia Diukendjieva; Andrew P Worth
Journal:  Methods Mol Biol       Date:  2022

4.  Modeling in vitro inhibition of butyrylcholinesterase using molecular docking, multi-linear regression and artificial neural network approaches.

Authors:  Fang Zheng; Max Zhan; Xiaoqin Huang; Mohamed Diwan M Abdul Hameed; Chang-Guo Zhan
Journal:  Bioorg Med Chem       Date:  2013-11-08       Impact factor: 3.641

5.  Conjugates of methylene blue with γ-carboline derivatives as new multifunctional agents for the treatment of neurodegenerative diseases.

Authors:  Sergey O Bachurin; Galina F Makhaeva; Elena F Shevtsova; Natalia P Boltneva; Nadezhda V Kovaleva; Sofya V Lushchekina; Elena V Rudakova; Ludmila G Dubova; Daria V Vinogradova; Vladimir B Sokolov; Alexey Yu Aksinenko; Vladimir P Fisenko; Rudy J Richardson; Gjumrakch Aliev
Journal:  Sci Rep       Date:  2019-03-19       Impact factor: 4.379

6.  Conjugates of γ-Carbolines and Phenothiazine as new selective inhibitors of butyrylcholinesterase and blockers of NMDA receptors for Alzheimer Disease.

Authors:  Galina F Makhaeva; Sofya V Lushchekina; Natalia P Boltneva; Vladimir B Sokolov; Vladimir V Grigoriev; Olga G Serebryakova; Ekaterina A Vikhareva; Alexey Yu Aksinenko; George E Barreto; Gjumrakch Aliev; Sergey O Bachurin
Journal:  Sci Rep       Date:  2015-08-18       Impact factor: 4.379

7.  New Hybrids of 4-Amino-2,3-polymethylene-quinoline and p-Tolylsulfonamide as Dual Inhibitors of Acetyl- and Butyrylcholinesterase and Potential Multifunctional Agents for Alzheimer's Disease Treatment.

Authors:  Galina F Makhaeva; Nadezhda V Kovaleva; Natalia P Boltneva; Sofya V Lushchekina; Tatiana Yu Astakhova; Elena V Rudakova; Alexey N Proshin; Igor V Serkov; Eugene V Radchenko; Vladimir A Palyulin; Sergey O Bachurin; Rudy J Richardson
Journal:  Molecules       Date:  2020-08-27       Impact factor: 4.411

  7 in total

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