Abstract
The use of in-silico methods for identifying new drugs to a target of interest is a step of a process called Rational Drug Design. This process consider a target protein, also known as receptor, which the three-dimensional structure is use to determine the binding site, and a set of drug candidates that are tested in order to establish a stable complex. The in-silico analysis of a set of drug candidates is performed by a computational technique defined as Virtual Screening (VS). In a previous work we developed a novel web tool for configuring different types of VS experiments using AutoDock Vina docking software. The presented tool is a framework that generates a python script to run a VS experiment in the users’ computer according to the users configuration on the framework web interface. In this paper we propose to apply the developed framework to a specific VS experiment considering one target receptor and a set of ligands. For this VS experiment the researcher informs the location of receptor and ligands files as well as their formats. It is also possible to set receptor and ligand flexibility. After this, the user indicates the output folder where all the results in the user’s computer will be stored after the script execution. Then, the user should configure the box area that indicates where ligands will be docked in the receptor molecule. The box size and the center must be configured, the variation of box center could be configured if user wants to execute an experiment that search the binding site in all molecule. For results analysis, the framework uses LigPlot software that describes the interactions between ligand and receptor amino-acids atoms after the performed molecular docking. In this way, this paper demonstrates the usage of the proposed framework for VS where we considered as receptor the structure of the human voltage-dependent anion channel (PDB code: 2JK4) and as ligands different types of carbon nanotubes. In the performed experiment we defined both receptor and ligands as rigid and considered only one box for representing the receptor binding site.
Highlights
In Bioinformatics, one of most important research area is the Rational Drug Design (RDD) [3], a process where the costs and time involved are high
One of the major challenges in RDD is related to the understanding of the behavior of biological macromolecules receptors as proteins and how they interact with a set of different small molecules or ligands, a strategy called Virtual Screening (VS) [2]
We present the application of the proposed framework for a virtual screening experiment
Summary
In Bioinformatics, one of most important research area is the Rational Drug Design (RDD) [3], a process where the costs and time involved are high. One of the major challenges in RDD is related to the understanding of the behavior of biological macromolecules receptors as proteins and how they interact with a set of different small molecules or ligands, a strategy called Virtual Screening (VS) [2]. In order to approximate the in-silico step of RDD process to the in vitro and in vivo tests the VS should consider that under physiological conditions, biomolecules experience various types of movement and conformational changes often crucial to their functions [7]. This flexible behavior of biological macromolecules can be simulated by molecular dynamics (MD) trajectories [2]. To incorporate flexibility in the receptors in a VS process, a possible approach is the implementation of a series of molecular docking using in each experiment a different receptor conformation generated by DM [4]
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