Literature DB >> 15481986

A docking score function for estimating ligand-protein interactions: application to acetylcholinesterase inhibition.

Jianxin Guo1, Margaret M Hurley, Jeffery B Wright, Gerald H Lushington.   

Abstract

Acetylcholinesterase (AChE) inhibition is an important research topic because of its wide range of associated health implications. A receptor-specific scoring function was developed herein for predicting binding affinities for human AChE (huAChE) inhibitors. This method entails a statistically trained weighted sum of electrostatic and van der Waals (VDW) interactions between ligands and the receptor residues. Within the 53 ligand training set, a strong correlation was found (R2 = 0.89) between computed and experimental inhibition constants. Leave-one-out cross-validation indicated high predictive power (Q2 = 0.72), and analysis of a separate 16-compound test set also produced very good correlation with experiment (R2 = 0.69). Scoring function analysis has permitted identification and characterization of important ligand-receptor interactions, producing a list of those residues making the most important electrostatic and VDW contributions within the main active site, gorge area, acyl binding pocket, and periferal site. These analyses are consistent with X-ray crystallographic and site-directed mutagenesis studies.

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Year:  2004        PMID: 15481986     DOI: 10.1021/jm049695v

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


  15 in total

1.  Scoring of KDR kinase inhibitors: using interaction energy as a guide for ranking.

Authors:  Georgia B McGaughey; J Chris Culberson; Bradley P Feuston; Constantine Kreatsoulas; Vladimir Maiorov; Joseph Shpungin
Journal:  Mol Divers       Date:  2006-09-27       Impact factor: 2.943

2.  A conformational transition in the adenylyl cyclase catalytic site yields different binding modes for ribosyl-modified and unmodified nucleotide inhibitors.

Authors:  Jenna L Wang; Jian-Xin Guo; Qi-Yuan Zhang; Jay J-Q Wu; Roland Seifert; Gerald H Lushington
Journal:  Bioorg Med Chem       Date:  2007-02-11       Impact factor: 3.641

3.  Fragmentation-tree density representation for crystallographic modelling of bound ligands.

Authors:  Gerrit G Langer; Guillaume X Evrard; Ciaran G Carolan; Victor S Lamzin
Journal:  J Mol Biol       Date:  2012-03-23       Impact factor: 5.469

4.  Molecular docking and receptor-specific 3D-QSAR studies of acetylcholinesterase inhibitors.

Authors:  Pran Kishore Deb; Anuradha Sharma; Poonam Piplani; Raghuram Rao Akkinepally
Journal:  Mol Divers       Date:  2012-09-21       Impact factor: 2.943

5.  3D-QSAR studies of triazolopyrimidine derivatives of Plasmodium falciparum dihydroorotate dehydrogenase inhibitors using a combination of molecular dynamics, docking, and genetic algorithm-based methods.

Authors:  Priyanka Shah; Sumit Kumar; Sunita Tiwari; Mohammad Imran Siddiqi
Journal:  J Chem Biol       Date:  2012-02-05

6.  Psychotria leiocarpa Extract and Vincosamide Reduce Chemically-Induced Inflammation in Mice and Inhibit the Acetylcholinesterase Activity.

Authors:  Anelise Samara Nazari Formagio; Carla Roberta Ferreira Volobuff; Candida Aparecida Leite Kassuya; Claudia Andréa Lima Cardoso; Maria do Carmo Vieira; Zefa Valdevina Pereira; Mariane Cristovão Bagatin; Gisele de Freitas Gauze
Journal:  Inflammation       Date:  2019-10       Impact factor: 4.092

7.  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

8.  Conformational analysis and parallel QM/MM X-ray refinement of protein bound anti-Alzheimer drug donepezil.

Authors:  Zheng Fu; Xue Li; Yipu Miao; Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2013-02-18       Impact factor: 6.006

9.  Application of consensus scoring and principal component analysis for virtual screening against β-secretase (BACE-1).

Authors:  Shu Liu; Rao Fu; Li-Hua Zhou; Sheng-Ping Chen
Journal:  PLoS One       Date:  2012-06-11       Impact factor: 3.240

10.  Exploring different virtual screening strategies for acetylcholinesterase inhibitors.

Authors:  Nibha Mishra; Arijit Basu
Journal:  Biomed Res Int       Date:  2013-11-04       Impact factor: 3.411

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