This tutorial will help you understand how the PlayMolecule API can be used. First open an IPython or Python console and run the following:
from playmolecule import describe_apps describe_apps()
This will print you a description of all available PlayMolecule applications. To use an app, for example ProteinPrepare in this case you can do:
from playmolecule.apps import proteinprepare # See help for the function by running `proteinprepare?` in IPython ed = proteinprepare(outdir="test", pdbid="3ptb")
The following will create a folder called test with all the necessary files to execute this job. All app functions will create a folder and return to you an ExecutableDirectory object. This is a self-contained directory including all app input files which can be executed either locally or on a cluster. If it’s not executed locally make sure the directory can be accessed from all machines in the cluster (i.e. is located on a shared filesystem).
To execute the job locally you can do:
ed.run() # Or in shorter format you can directly execute the app like this: proteinprepare(outdir="test", pdbid="3ptb").run()
This will execute the executable directory locally. Next let’s see a more complex example involving SLURM and a specific version of the app (here v1).
from playmolecule.apps import proteinprepare ed = proteinprepare.v1(outdir="test", pdbid="3ptb") ed.slurm(partition="normalCPU", ncpu=1, ngpu=0)
This will execute the directory
test on a SLURM cluster on partition
normalCPU and will request 1 CPU and 0 GPUs for the job.
When running on SLURM (or when running locally once the job has completed) you can check the status of the job via:
which will be one of
WAITING_INFO (has not started yet),
See JobStatus class.
All apps have a test suite included in them which you can check by running:
from playmolecule.apps import proteinprepare print(proteinprepare.tests) # This will print all available tests proteinprepare.tests.simple.run() # This will execute the test `simple` locally
Using artifacts and files#
Artifacts or files are artifacts which are shipped together with an application and can be used by it. This includes files necessary to run an app (like model files for Kdeep) or files used for the app tests. They are mostly synonymous except that they provide different ways for accessing the files.
Here you see how to use artifacts in an app execution
# Show all Kdeep latest artifacts print(kdeep.artifacts) # Show Kdeep artifacts for app version v1 print(kdeep.v1.artifacts) # Use a dataset in an execution kdeep( outdir="/tmp/test2", scratchdir="/tmp/", modelfile=kdeep.artifacts.AceBind2023_ET, pdb="./tests/test_playmolecule/kdeep/10gs_protein.pdb", sdf="./tests/test_playmolecule/kdeep/10gs_ligand.sdf", correlation_field="EXP_AFF" ).run()
Not only apps can offer artifacts. PlayMolecule also offers some global artifacts which can be used from any app
from playmolecule import artifacts print(artifacts)