Difference between revisions of "Virtual Screening Protocol on BlueGene (IGF-IR system)"

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(1) Make the grid for the protein.
 
(1) Make the grid for the protein.
 +
cat <<EOF >box.in
 +
yes
 +
$box_margin
 +
./selected_spheres.sph
 +
1
 +
box.pdb
 +
EOF
 +
 +
cat <<EOF >grid.in
 +
compute_grids                  yes
 +
grid_spacing                  $grid_spacing
 +
output_molecule                yes
 +
contact_score                  no
 +
chemical_score                no
 +
energy_score                  yes
 +
energy_cutoff_distance        999
 +
atom_model                    a
 +
attractive_exponent            ${attractive}
 +
repulsive_exponent            ${repulsive}
 +
distance_dielectric            yes
 +
dielectric_factor              4
 +
bump_filter                    yes
 +
bump_overlap                  0.75
 +
receptor_file                  ./receptor.mol2
 +
box_file                      ./box.pdb
 +
vdw_definition_file            ./vdw.defn
 +
chemical_definition_file      ./chem.defn
 +
score_grid_prefix              ./${system}.rec
 +
receptor_out_file              ./${system}.rec.grid.mol2
 +
EOF
 +
 +
Among them, the parameters are set as follows:
 +
set grid_spacing =  0.3
 +
set attractive = 6
 +
set repulsive = 9
 +
set box_margin = 8

Revision as of 19:54, 20 July 2012

For this document, virtual screening protocol will be described in detail for IGF-IR system (by Yulin Huang).

1. Identify the target

This is the very fist step for virtual screening. Usually, a single or multiple proteins are selected as targets if their mutations or overexpression are implicated in certain diseases. However, disease relevance alone is not sufficient for target identification. Moreover, the target must be druggable which means the target should be predicted to bind to a drug with high affinity and this binding will bring therapeutic benefit to the patients. The target is defined as druggable if there are drugs already identified for it. Otherwise, druggability can be predicted using evolution rules, structural properties or other destructors.

2. Prepare the target

At this step, you need to prepare the protein structure used for virtual screening. The structures can be downloaded from PDB database if they are available. Make sure which form of the structures Or the structures can be obtained from homology modeling or molecular dynamic simulations. Monoatomic ions should be carefully treated and usually they are treated as part of the receptor if they were within ca. 10Å from the binding site. In terms of water molecules, prior knowledge is needed for decisions. If the system is known to have water-mediated interactions (i.e, ErbB family receptors), then the waters should be included as part of the receptors. If not, waters should be removed. For histidine residues, they are treated based on the environment, i.e., which nitrogen was coordinated with ions and/or ligands. Finally, all the protein structures are aligned to a common frame (added hydrogen and minimize the H).

3. Database Preparation


4. Run Docking on Bluegene

(1) Make the grid for the protein. cat <<EOF >box.in yes $box_margin ./selected_spheres.sph 1 box.pdb EOF

cat <<EOF >grid.in compute_grids yes grid_spacing $grid_spacing output_molecule yes contact_score no chemical_score no energy_score yes energy_cutoff_distance 999 atom_model a attractive_exponent ${attractive} repulsive_exponent ${repulsive} distance_dielectric yes dielectric_factor 4 bump_filter yes bump_overlap 0.75 receptor_file ./receptor.mol2 box_file ./box.pdb vdw_definition_file ./vdw.defn chemical_definition_file ./chem.defn score_grid_prefix ./${system}.rec receptor_out_file ./${system}.rec.grid.mol2 EOF

Among them, the parameters are set as follows: set grid_spacing = 0.3 set attractive = 6 set repulsive = 9 set box_margin = 8