Literature DB >> 17049234

3D QSAR studies of AChE inhibitors based on molecular docking scores and CoMFA.

Nagaraju Akula1, Laurent Lecanu, Janet Greeson, Vassilios Papadopoulos.   

Abstract

Three-dimensional quantitative structure-activity relationship (3D QSAR) studies were performed on acetylcholinesterase (AChE) inhibitors, based on molecular docking scores obtained by using FlexX and FlexiDock and comparative molecular field analysis (CoMFA). The docking scores were used as molecular descriptors along with the steric and electrostatic field values of CoMFA, for partial least square (PLS) analysis. The high leave one out (LOO) cross-validated correlation coefficient (q(2)=0.714) reveals that the model is a useful tool for the prediction of test set as well as newly designed structures against AChE activity. The superimposed CoMFA models on the receptor site of AChE are guiding the design of potential inhibitory structures directed against AChE activity.

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Year:  2006        PMID: 17049234     DOI: 10.1016/j.bmcl.2006.09.030

Source DB:  PubMed          Journal:  Bioorg Med Chem Lett        ISSN: 0960-894X            Impact factor:   2.823


  11 in total

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Authors:  Kai Y Wong; Andrew G Mercader; Laura M Saavedra; Bahareh Honarparvar; Gustavo P Romanelli; Pablo R Duchowicz
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3.  Docking and 3D-QSAR modeling of cyclin-dependent kinase 5/p25 inhibitors.

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4.  Combined 3D-QSAR, molecular docking, and molecular dynamics study of tacrine derivatives as potential acetylcholinesterase (AChE) inhibitors of Alzheimer's disease.

Authors:  An Zhou; Jianping Hu; Lirong Wang; Guochen Zhong; Jian Pan; Zeyu Wu; Ailing Hui
Journal:  J Mol Model       Date:  2015-10-05       Impact factor: 1.810

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

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Journal:  Pharm Res       Date:  2009-07-15       Impact factor: 4.200

6.  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

7.  Deciphering the Interactions of Bioactive Compounds in Selected Traditional Medicinal Plants against Alzheimer's Diseases via Pharmacophore Modeling, Auto-QSAR, and Molecular Docking Approaches.

Authors:  Oluwafemi Adeleke Ojo; Adebola Busola Ojo; Charles Okolie; Mary-Ann Chinyere Nwakama; Matthew Iyobhebhe; Ikponmwosa Owen Evbuomwan; Charles Obiora Nwonuma; Rotdelmwa Filibus Maimako; Abayomi Emmanuel Adegboyega; Odunayo Anthonia Taiwo; Khalaf F Alsharif; Gaber El-Saber Batiha
Journal:  Molecules       Date:  2021-04-01       Impact factor: 4.411

8.  A classification model to predict synergism/antagonism of cytotoxic mixtures using protein-drug docking scores.

Authors:  John C Boik; Robert A Newman
Journal:  BMC Pharmacol       Date:  2008-07-29

9.  Acetylshikonin, a Novel AChE Inhibitor, Inhibits Apoptosis via Upregulation of Heme Oxygenase-1 Expression in SH-SY5Y Cells.

Authors:  Yan Wang; Wen-Liang Pan; Wei-Cheng Liang; Wai-Kit Law; Denis Tsz-Ming Ip; Tzi-Bun Ng; Mary Miu-Yee Waye; David Chi-Cheong Wan
Journal:  Evid Based Complement Alternat Med       Date:  2013-11-05       Impact factor: 2.629

10.  Computational Simulation Studies on the Binding Selectivity of 1-(1H-Benzimidazol-5-yl)-5-aminopyrazoles in Complexes with FGFR1 and FGFR4.

Authors:  You-Lu Pan; Yan-Ling Liu; Jian-Zhong Chen
Journal:  Molecules       Date:  2018-03-27       Impact factor: 4.411

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