Abstract

Ligand protein docking simulations play a fundamental role in understanding molecular recognition. Herein we introduce the NRGsuite, a PyMOL plugin that permits the detection of surface cavities in proteins, their refinements, calculation of volume and use, individually or jointly, as target binding-sites for docking simulations with FlexAID. The NRGsuite offers the users control over a large number of important parameters in docking simulations including the assignment of flexible side-chains and definition of geometric constraints. Furthermore, the NRGsuite permits the visualization of the docking simulation in real time. The NRGsuite give access to powerful docking simulations that can be used in structure-guided drug design as well as an educational tool. The NRGsuite is implemented in Python and C/C++ with an easy to use package installer. The NRGsuite is available for Windows, Linux and MacOS.Availability and implementation: http://bcb.med.usherbrooke.ca/flexaid.Contact: rafael.najmanovich@usherbroke.caSupplementary information: Supplementary data are available at Bioinformatics online.

Highlights

  • Docking simulations can be used to understand the specificity and selectivity of ligands as well as guide in the identification and design of inhibitors

  • Two PyMOL plugins exist for docking simulations (Lill and Danielson, 2011; Seeliger and de Groot, 2010), both use AutoDock Vina and require additional software compilation/installation

  • In this work we present the NRGsuite, an open-source and self-contained precompiled PyMOL plugin focused on the prediction of binding-poses with docking simulations

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Summary

Introduction

Docking simulations can be used to understand the specificity and selectivity of ligands as well as guide in the identification and design of inhibitors. Two PyMOL plugins exist for docking simulations (Lill and Danielson, 2011; Seeliger and de Groot, 2010), both use AutoDock Vina and require additional software compilation/installation. The latter permits docking with SLIDE (Zavodszky et al, 2002) but requires an AMBER license. In this work we present the NRGsuite, an open-source and self-contained precompiled PyMOL plugin (for PyMOL versions 1.2 and above) focused on the prediction of binding-poses with docking simulations. Project-oriented environment making structure-guided drug design accessible to non-experts

GetCleft
FlexAID
Input files
Target configuration
Ligand configuration
Scoring configuration
Genetic algorithm parameters
Simulate
Findings
Conclusions
Full Text
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