FastROCS: Difference between revisions

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                               server:port query results [nHits]
                               server:port query results [nHits]
  example: ShapeDatabaseClient.py n-9-34.cluster.ucsf.bkslab.org:8080 ZINC000000002837.sdf result.sdf
  example: ShapeDatabaseClient.py n-9-34.cluster.ucsf.bkslab.org:8080 ZINC000000002837.sdf result.sdf
Send a query to a specified ShapeDatabaseServer and print the histogram of scores for the entire database of molecules


  $ ShapeDatabaseClientHistogram.py <server:port> <query> <results> [num_hits = 100]
  $ ShapeDatabaseClientHistogram.py <server:port> <query> <results> [num_hits = 100]

Revision as of 20:13, 20 March 2019

Overview

FastROCS is an virtual screening tool using shape comparison for potential actives discovery. It is vastly improved of ROCS in term of speed. It could automatically split the search into many parallel searches depending on how many GPU are there.

Tutorials

Install FastROCS

See Openeye python libraries There is also an installation guide on OpenEye website for alternatives. Click here

(Admin-only) Setting up FastROCS server

This needs to take place in a GPU-enabled computer

 View FastROCS Server

Running query on FastROCS server

Any computer

1. Set up virtual environment

cd /nfs/home/khtang/ex9/openeye/FastROCS
source ./source_venv

2. Run search

$ ShapeDatabaseClient.py [-h] [--tversky] [--shapeOnly]
                             [--alternativeStarts {random,subrocs,inertialAtHeavyAtoms,inertialAtColorAtoms}]
                             server:port query results [nHits]
example: ShapeDatabaseClient.py n-9-34.cluster.ucsf.bkslab.org:8080 ZINC000000002837.sdf result.sdf

Send a query to a specified ShapeDatabaseServer and print the histogram of scores for the entire database of molecules

$ ShapeDatabaseClientHistogram.py <server:port> <query> <results> [num_hits = 100]