Difference between revisions of "2014 DOCK tutorial with HIV Protease"

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Mosavverul Arkin
 
Mosavverul Arkin
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==V. Docking a Single Molecule for Pose Reproduction==
 
==V. Docking a Single Molecule for Pose Reproduction==

Revision as of 15:01, 3 March 2014

For additional Rizzo Lab tutorials see DOCK Tutorials. Use this link Wiki Formatting as a reference for editing the wiki. This tutorial was developed collaboratively by the AMS 536 class of 2013, using DOCK v6.6.

I. Introduction

DOCK

DOCK is a molecular docking program used in drug discovery. It was developed by Irwin D. Kuntz, Jr. and colleagues at UCSF (see UCSF DOCK). This program, given a protein binding site and a small molecule, tries to predict the correct binding mode of the small molecule in the binding site, and the associated binding energy. Small molecules with highly favorable binding energies could be new drug leads. This makes DOCK a valuable drug discovery tool. DOCK is typically used to screen massive libraries of millions of compounds against a protein to isolate potential drug leads. These leads are then further studied, and could eventually result in a new, marketable drug. DOCK works well as a screening procedure for generating leads, but is not currently as useful for optimization of those leads.

DOCK 6 uses an incremental construction algorithm called anchor and grow. It is described by a three-step process:

  1. Rigid portion of ligand (anchor) is docked by geometric methods.
  2. Non-rigid segments added in layers; energy minimized.
  3. The resulting configurations are 'pruned' and energy re-minimized, yielding the docked configurations.

HIV Protease

Joe

Organizing Directories

While performing docking, it is convenient to adopt a standard directory structure / naming scheme, so that files are easy to find / identify. For this tutorial, we will use something similar to the following:

~username/AMS536/dock-tutorial/00.files/
                              /01.dockprep/
                              /02.surface-spheres/
                              /03.box-grid/
                              /04.dock/
                              /05.mini-virtual-screen/
                              /06.virtual-screen/
                             

In addition, most of the important files that are derived from the original crystal structure will be given a prefix that is the same as the PDB code, '1HVR'. The following sections in this tutorial will adhere to this directory structure / naming scheme.

II. Preparing the Receptor and Ligand

Tianao

III. Generating Receptor Surface and Spheres

Generating the Receptor Surface

Check to make sure 02.surface-spheres directory exists under dock-tutorial. If not then make the following directory:

mkdir 02.surface-sphgen
cd 02.surface-sphgen

The following steps will be carried out to generate the receptor surface using Chimera:

Open Chimera by simply typing chimera into the terminal window

| Go File -> Open and choose the PDB file of the protein containing no hydrogens (1LOQ.receptor.noH.pdb) from 01.dockprep

| Further, Actions -> Surface -> Show

| Go Tools -> Structure Editing -> Write DMS in order to obtain a dms file, which we will need while placing spheres

| In the new window save the surface as 1LOQ.receptor.dms

IV. Generating Box and Grid

Mosavverul Arkin

1.) Make a new directory and name it: 03.box-grid/

      mkdir 03.box-grid


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V. Docking a Single Molecule for Pose Reproduction

Jess Junjie Kai

VI. Virtual Screening

Virtual Screening Introduction

A virtual screen of various ligand allows for the comparison of both qualitative (e.g. position in binding site) and quantitative (e.g. energy scores) data pertaining to the each screened ligand with an originally docked molecule. Virtual screening is often used as a method to cut the cost of experimentation by narrowing down the ligands within a database and predicting which will exhibit the most favorable binding to a specific protein (with a pre-determined .grid file).

VII. Running DOCK in Parallel on Seawulf

Fengfei Lu

VIII. Frequently Encountered Problems

Tianao

Mike

Ivan

Junjie

Kai

Jess

Arkin

Yan

Yao

Lu

Fengfei

Mosavverul