Literature DB >> 17518767

Detailed comparison of the protein-ligand docking efficiencies of GOLD, a commercial package and ArgusLab, a licensable freeware.

Saju Joy1, Parvathy S Nair, Ramkumar Hariharan, M Radhakrishna Pillai.   

Abstract

Molecular docking and virtual screening based on molecular docking have become an integral part of many modern structure-based drug discovery efforts. Hence, it becomes a useful endeavor to evaluate existing docking programs, which can assist in the choice of the most suitable docking algorithm for any particular study. The objective of the current study was to evaluate the ability of ArgusLab 4.0, a relatively new molecular modeling package in which molecular docking is implemented, to reproduce crystallographic binding orientations and to compare its accuracy with that of a well established commercial package, GOLD. The study also aimed to evaluate the effect of the nature of the binding site and ligand properties on docking accuracy. The three dimensional structures of a carefully chosen set of 75 pharmaceutically relevant protein-ligand complexes were used for the comparative study. The study revealed that the commercial package outperforms the freely available docking engine in almost all the parameters tested. However, the study also revealed that although lagging behind in accuracy, results from ArgusLab are biologically meaningful. This taken together with the fact that ArgusLab has an easy to use graphical user interface, means that it can be employed as an effective teaching tool to demonstrate molecular docking to beginners in this area.

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Year:  2006        PMID: 17518767

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  6 in total

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2.  Identification of novel cholesterol-binding regions in Kir2 channels.

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Journal:  J Biol Chem       Date:  2013-09-09       Impact factor: 5.157

3.  Using free energy of binding calculations to improve the accuracy of virtual screening predictions.

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Journal:  J Chem Inf Model       Date:  2011-07-11       Impact factor: 4.956

4.  Cholesterol sensitivity of KIR2.1 is controlled by a belt of residues around the cytosolic pore.

Authors:  Avia Rosenhouse-Dantsker; Diomedes E Logothetis; Irena Levitan
Journal:  Biophys J       Date:  2011-01-19       Impact factor: 4.033

5.  Evolutionary constraints acting on DDX3X protein potentially interferes with Rev-mediated nuclear export of HIV-1 RNA.

Authors:  Deepak Sharma; Jayanta Bhattacharya
Journal:  PLoS One       Date:  2010-03-15       Impact factor: 3.240

6.  Aureonitol, a Fungi-Derived Tetrahydrofuran, Inhibits Influenza Replication by Targeting Its Surface Glycoprotein Hemagglutinin.

Authors:  Carolina Q Sacramento; Andressa Marttorelli; Natalia Fintelman-Rodrigues; Caroline S de Freitas; Gabrielle R de Melo; Marco E N Rocha; Carlos R Kaiser; Katia F Rodrigues; Gisela L da Costa; Cristiane M Alves; Osvaldo Santos-Filho; Jussara P Barbosa; Thiago Moreno L Souza
Journal:  PLoS One       Date:  2015-10-13       Impact factor: 3.240

  6 in total

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