Ucsfdock

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ucsfdock is a Python package wrapping the DOCK program that provides tools to help standardize and automate the computational methods employed in molecular docking.

Programs:

  • blastermaster: generate a specific docking configuration for a given receptor and ligand
  • dockmaster: evaluate many different docking configurations in parallel using a specified job scheduler (e.g. Slurm)

A docking configuration is a unique set of DOCK parameter files and INDOCK parameter values.

Installation

Coming soon.

Instructions

Note for UCSF Shoichet Lab members

ucsfdock is already installed on the following clusters. You can source the provided Python environment scripts to expose the relevant executables:

Wynton

source /wynton/home/irwin/isknight/envs/python3.8.5.sh

Gimel

Only nodes other than 'gimel' itself are supported, e.g., 'gimel5'.

source /nfs/soft/ian/python3.8.5.sh

blastermaster

blastermaster allows the generation of a specific docking configuration for a given receptor and ligand.

Note: Invoking blastermaster commands below will produce a log file called blastermaster.log in your current working directory.

blastermaster configure

First you need to create the directory for your blastermaster job. To do so, simply type

blastermaster configure

By default, the job directory is named blastermaster_job. To specify a different name, type

blastermaster configure <JOB_DIR_NAME>

The job directory contains two sub-directories:

  1. working: input files, intermediate blaster files, sub-directories for individual blastermaster subroutines
  2. dockfiles: output files (DOCK parameter files & INDOCK)

If your current working directory contains any of the following files, then they will be automatically copied into the working directory within the created job directory.

  • rec.pdb
  • xtal-lig.pdb
  • rec.crg.pdb
  • reduce_wwPDB_het_dict.txt
  • filt.params
  • radii
  • amb.crg.oxt
  • vdw.siz
  • delphi.def
  • vdw.parms.amb.mindock
  • prot.table.ambcrg.ambH

This feature is intended to simplify the process of configuring the blastermaster job. If you would like to use files not present in your current working directory, copy them into your job's working directory, e.g.:

cp <FILE_PATH> <JOB_DIR_NAME>/working/

Finally, configure the blastermaster_config.yaml file in the job directory to your specifications. The parameters in this file govern the behavior of blastermaster.

blastermaster run

Once your job has been configured to your liking, navigate to the the job directory and run blastermaster:

cd <JOB_DIR_NAME>
blastermaster run

This will execute the many blastermaster subroutines in sequence. The state of the program will be printed to standard output as it runs.

dockmaster

dockmaster allows the evaluation of many different docking configurations in parallel using a specified job scheduler (e.g. Slurm).

The name "dockmaster", aside from being an uncreative rehash of the name "blastermaster", derives from the notion of a literal dockmaster, i.e., the person in charge of a dock who manages freight logistics and bosses around numerous dockworkers. In this analogy, a single dockworker corresponds to the processing of a single docking configuration.

Note: Invoking dockmaster commands will produce a log file called dockmaster.log in your current working directory.

dockmaster configure

First you need to create the directory for your blastermaster job. To do so, simply type

dockmaster configure

By default, the job directory is named dockmaster_job. To specify a different name, type

dockmaster configure <JOB_DIR_NAME>

The job directory contains two sub-directories:

  1. working: input files, intermediate blaster files, sub-directories for individual blastermaster subroutines
  2. retro_docking: individual retro docking jobs for each docking configuration

The key difference between the working directories of blastermaster and dockmaster is that the working directory of dockmaster may contain multiple variants of the blaster files (prefixed by a number, e.g. "1_box"). These variant files are used to create the different docking configurations specified by the multi-valued entries of dockmaster_config.yaml. They are created efficiently, such that the same variant used in multiple docking configurations is not created more than once.

If your current working directory contains any of the following files, then they will be automatically copied into the working directory within the created job directory.

  • rec.pdb
  • xtal-lig.pdb
  • rec.crg.pdb
  • reduce_wwPDB_het_dict.txt
  • filt.params
  • radii
  • amb.crg.oxt
  • vdw.siz
  • delphi.def
  • vdw.parms.amb.mindock
  • prot.table.ambcrg.ambH

This feature is intended to simplify the process of configuring the dockmaster job. If you would like to use files not present in your current working directory, copy them into your job's working directory, e.g.:

cp <FILE_PATH> <JOB_DIR_NAME>/working/

Finally, configure the dockmaster_config.yaml file in the job directory to your specifications. The parameters in this file govern the behavior of dockmaster.

Note: The dockmaster_config.yaml file differs from the blastermaster_config.yaml file in that every parameter of the former may accept either a single value or a list of comma-separated values, which indicates a specific set of configuration parameter values to attempt. Multiple such multi-valued parameters may be provided, and all unique resultant docking configurations will be attempted.

Single-valued YAML line format:

distance_to_surface: 1.0

Multi-valued YAML line format:

distance_to_surface: [1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9]

environmental variables

Designate where the short cache and long cache should be located. E.g.:

export SHRTCACHE=/dev/shm  # temporary storage for job files
export LONGCACHE=/dev/shm  # long-term storage for files shared between jobs

In order for dockmaster to know which scheduler it should use, please configure the following environmental variables according to which one of the job schedulers you have.

Slurm

E.g., on the UCSF Shoichet Lab Gimel cluster (on any node other than 'gimel' itself, such as 'gimel5'):

export SBATCH_EXEC=/usr/bin/sbatch
export SQUEUE_EXEC=/usr/bin/squeue

SGE

E.g., on the UCSF Wynton cluster:

export QSTAT_EXEC=/opt/sge/bin/lx-amd64/qstat
export QSUB_EXEC=/opt/sge/bin/lx-amd64/qsub

The following is necessary on the UCSF Wynton cluster:

export SGE_SETTINGS=/opt/sge/wynton/common/settings.sh

On most clusters, this will probably be:

export SGE_SETTINGS=/opt/sge/default/common/settings.sh

dockmaster run

Once your job has been configured to your liking, navigate to the the job directory and run dockmaster:

cd <JOB_DIR_NAME>
dockmaster run <JOB_SCHEDULER_NAME>

where <JOB_SCHEDULER_NAME> is one of:

  • sge
  • slurm

This will execute the many dockmaster subroutines in sequence, except for the retro docking jobs run on each docking configuration, which are run in parallel via the scheduler. The state of the program will be printed to standard output as it runs.

You can also set the following flags to adjust retro docking job submission behavior. This example show the default values:

dockmaster run <JOB_SCHEDULER_NAME> --retro_docking_job_max_reattempts=0 --retro_docking_job_timeout_minutes=None

Once the dockmaster job is complete, the following files will be generated in the job directory:

  • dockmaster_job_report.pdf: contains (1) roc.png of best retro docking job, (2) box plots of enrichment for every multi-valued config parameter, and (3) heatmaps of enrichment for every pair of multi-valued config parameters
  • dockmaster_job_results.csv: enrichment metrics for each docking configuration

In addition, the best retro docking job will be copied to its own sub-directory best_retro_docking_job/.

Within each retro docking job directory, there are the following files and sub-directories:

  • working/: intermediate files
  • dockfiles/: parameters files and INDOCK for given docking configuration
  • output/: contains (1) joblist, (2) sub-directories 1/ for actives and 2/ for decoys (each containing OUTDOCK and test.mol2 files), and (3) the log files for the retro docking jobs
  • retro_docking_job_results.csv: data loaded from OUTDOCK files for both actives and decoys
  • roc.png: the ROC enrichment curve (log-scaled x-axis) for given docking configuration