Interaction Filtering: Difference between revisions

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This is the 1st version (20200210) of Interaction Filtering. Please copy the code to your current directory.
This is Interaction Filtering version 1.1 (20200601). Please copy the code to your current directory.


FIRST AND FOREMOST, If you find any version conflicts between python 3.7 and 2.7. You need to comment out inside ~/.cshrc: # source /nfs/soft/dock/versions/dock37/DOCK-3.7-trunk/env.csh
$ cp -r /mnt/nfs/home/sgu/code/interfilter .


$ cp -r /mnt/nfs/home/sgu/code/interfilter .
'''FIRST AND FOREMOST, if you find any version conflicts between python3 and python2, you need to comment out inside ~/.cshrc:''' # source /nfs/soft/dock/versions/dock37/DOCK-3.7-trunk/env.csh


To run the code, you need OpenEye (version 2019.Oct.2). You can follow the instruction to install: https://docs.eyesopen.com/toolkits/python/quickstart-python/linuxosx.html
To run the code, you need to install OpenEye (version 2019.Oct.2) by following the instruction: https://docs.eyesopen.com/toolkits/python/quickstart-python/linuxosx.html


On our cluster, you may source my environment.
On our cluster, you may source my environment.
  $ source /nfs/home/sgu/anaconda3/etc/profile.d/conda.csh
  $ source /nfs/home/sgu/anaconda3/etc/profile.d/conda.sh
  $ conda activate oepython
  $ conda activate oepython
  $ setenv OE_LICENSE /nfs/soft/openeye/oe_license.txt
  $ source /nfs/soft/openeye/OpenEye-toolkits-python3-linux-x64-2019.10.2/env.sh


Running the code:
Running the code:
  $ python interfilter.py -protein rec.crg.pdb -ligand poses.mol2
  $ python interfilter.py -protein rec.crg.pdb -ligand poses.mol2
If you want to know the interaction for a specific residue (e.g. ASP115A, A means chain A):
If you want to have/avoid the interaction (hydrogen bond or salt bridge) for a specific residue (e.g. ASP115A, A means chain A):
 
In rec.crg.pdb, some residue like HIS is converted to HID or HIE. Please use the converted name instead of HIS.
  $ python interfilter.py -protein rec.crg.pdb -ligand poses.mol2 -residue ASP115A
  $ python interfilter.py -protein rec.crg.pdb -ligand poses.mol2 -residue ASP115A
If you want to plot the paired/unpaired interaction (figure generation can be slow, but several thousand should be fine):
If you want to plot the paired/unpaired interaction (figure generation can be slow, but tens of thousands should be fine):
  $ python interfilter.py -protein rec.crg.pdb -ligand poses.mol2 -residue ASP115A -plot
  $ python interfilter.py -protein rec.crg.pdb -ligand poses.mol2 -residue ASP115A -plot


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To filter out compounds, you may be interested in:
To filter out compounds, you may be interested in:


Column3: #hydrogen bond clash + #salt bridge clash
'''Column3: #hydrogen bond clash + #salt bridge clash'''
 
'''Column4: #unpaired ligand donor + #unpaired ligand salt bridge'''
 
'''Column5: #unpaired ligand acceptor'''
 
'''Column9: #hydrogen bond'''
 
'''Column11: #salt bridge'''
 
'''Column15: interaction (hydrogen bond or salt bridge) for you specified residue (0 means no, 1 means yes)'''
 
$ awk '$3==0 && $4==0 && $5<=3 && $9+$11>0' poses_noResidue_interaction_analysis.txt > filtered.txt
$ awk '$3==0 && $4==0 && $5<=3 && $9+$11>0 && $15>0' poses_ASP115A_interaction_analysis.txt > filtered.txt


Column4: #unpaired ligand donor + #unpaired ligand salt bridge
---------------------------------------------------------------------------------------------------------------------------------------------
8/5/2020 Ying


Column9: #hydrogen bond + #non-ideal hydrogen bond
Collect 2D interaction plots into a html file:


Column11: #salt bridge
  cd <folder with png files>
  python /nfs/home/yingyangg/scripts/plot_2Dinteraction_html.py


Column15: interaction for you specified residue (0 means no, 1 means yes)
2Dinteraciton.html will be generated, and can be further converted to PDF via print.
[[File: 2d_html.png|thumb|center|500px|2Dinteraction_html plot]]

Latest revision as of 01:54, 18 August 2021

This is Interaction Filtering version 1.1 (20200601). Please copy the code to your current directory.

$ cp -r /mnt/nfs/home/sgu/code/interfilter .

FIRST AND FOREMOST, if you find any version conflicts between python3 and python2, you need to comment out inside ~/.cshrc: # source /nfs/soft/dock/versions/dock37/DOCK-3.7-trunk/env.csh

To run the code, you need to install OpenEye (version 2019.Oct.2) by following the instruction: https://docs.eyesopen.com/toolkits/python/quickstart-python/linuxosx.html

On our cluster, you may source my environment.

$ source /nfs/home/sgu/anaconda3/etc/profile.d/conda.sh
$ conda activate oepython
$ source /nfs/soft/openeye/OpenEye-toolkits-python3-linux-x64-2019.10.2/env.sh

Running the code:

$ python interfilter.py -protein rec.crg.pdb -ligand poses.mol2

If you want to have/avoid the interaction (hydrogen bond or salt bridge) for a specific residue (e.g. ASP115A, A means chain A):

In rec.crg.pdb, some residue like HIS is converted to HID or HIE. Please use the converted name instead of HIS.

$ python interfilter.py -protein rec.crg.pdb -ligand poses.mol2 -residue ASP115A

If you want to plot the paired/unpaired interaction (figure generation can be slow, but tens of thousands should be fine):

$ python interfilter.py -protein rec.crg.pdb -ligand poses.mol2 -residue ASP115A -plot
An example of paired interaction plot
An example of unpaired interaction plot

The output is a txt file, containing 15 columns: 1ligand 2clash 3hbond_clash+sbridge_clash 4unpairedl_donor+unpairedl_sbridge 5unpairedl_acceptor 6unpairedp_donor+unpairedp_acceptor 7unpairedp_sbridge 8contact 9hbond+hbond_nonideal 10hbond_ligand 11sbridge 12stacking 13cationpi 14halogen 15residue

To filter out compounds, you may be interested in:

Column3: #hydrogen bond clash + #salt bridge clash

Column4: #unpaired ligand donor + #unpaired ligand salt bridge

Column5: #unpaired ligand acceptor

Column9: #hydrogen bond

Column11: #salt bridge

Column15: interaction (hydrogen bond or salt bridge) for you specified residue (0 means no, 1 means yes)

$ awk '$3==0 && $4==0 && $5<=3 && $9+$11>0' poses_noResidue_interaction_analysis.txt > filtered.txt
$ awk '$3==0 && $4==0 && $5<=3 && $9+$11>0 && $15>0' poses_ASP115A_interaction_analysis.txt > filtered.txt

8/5/2020 Ying

Collect 2D interaction plots into a html file:

 cd <folder with png files>
 python /nfs/home/yingyangg/scripts/plot_2Dinteraction_html.py

2Dinteraciton.html will be generated, and can be further converted to PDF via print.

2Dinteraction_html plot