PredictDGFromDDG

This cube applies the Maximum likelihood Estimator method to predict the absolute binding affinities starting from the relative binding affinities (rbfe). If rbfe edges are not well graph connected the estimate will not be provided.

Inputs

Data Record Stream - Streamed-in of records containing predicted relative binding affinities

Data Record Stream - Streamed-in of records containing ligand information usually provided running the Short Trajectory MD floe

Output

Floe Report

Data record Stream - Streamed-out of records containing per ligand predicted absolute binding affinities.

Data Record Stream - Streamed-out of records containing predicted relative and absolute binding affinities used to feed the plot affinity cube

Main Parameters

Parameter Name
Log Field

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Parameter Details

• Calculation Parameters

• Field parameters

• Hardware Parameters

• Metrics Parameters

Calculation Parameters

• CPUs (cpu_count) type: integer: The number of CPUs to run this cube with

  Default: 1 , Min: 1, Max: 128
• Cube Metrics (cube_metrics) type: string: Set of metrics to be collected

  
  

  Choices: cpu, disk, memory, network
• Temporary Disk Space (MiB) (disk_space) type: decimal: The minimum amount of disk space in MiB (1048576 B) this cube requires. Due to overhead, request a couple hundred MiB more than required.

  Default: 5120.0 , Min: 128.0, Max: 8589934592
• GPUs (gpu_count) type: integer: The number of GPUs to run this cube with

  Default: 0 , Max: 16
• Instance Tags (instance_tags) type: string: Only run on machines with matching tags (comma separated)

  Default: “”
• Instance Type (instance_type) type: string: The type of instance that this cube needs to be run on
• Ligand Experimental Results (lig_exp_file) type: file_in: Ligand Experimental Results
• Memory (MiB) (memory_mb) type: decimal: The minimum amount of memory in MiBs (1048576 B) this cube requires. Due to overhead, request a couple hundred MiB more than required.

  Default: 1800 , Min: 256.0, Max: 8589934592
• Metric Period (metric_period) type: decimal: How often to sample metrics, in seconds

  Default: 60

  Choices: 1, 5, 10, 30, 60, 120, 180, 240, 300, Min: 1, Max: 300
• Spot policy (spot_policy) type: string: Control cube placement on spot market instances

  Default: Prohibited

  Choices: Allowed, Preferred, NotPreferred, Prohibited, Required

Field parameters

• Log Field (log_field) type: Field Type: String: The field to store messages to floe report

  Default: Log Field

Hardware Parameters

Machine hardware requirements

• Memory (MiB) (memory_mb) type: decimal: The minimum amount of memory in MiBs (1048576 B) this cube requires. Due to overhead, request a couple hundred MiB more than required.

  Default: 1800 , Min: 256.0, Max: 8589934592
• Temporary Disk Space (MiB) (disk_space) type: decimal: The minimum amount of disk space in MiB (1048576 B) this cube requires. Due to overhead, request a couple hundred MiB more than required.

  Default: 5120.0 , Min: 128.0, Max: 8589934592
• GPUs (gpu_count) type: integer: The number of GPUs to run this cube with

  Default: 0 , Max: 16
• CPUs (cpu_count) type: integer: The number of CPUs to run this cube with

  Default: 1 , Min: 1, Max: 128
• Instance Type (instance_type) type: string: The type of instance that this cube needs to be run on
• Spot policy (spot_policy) type: string: Control cube placement on spot market instances

  Default: Prohibited

  Choices: Allowed, Preferred, NotPreferred, Prohibited, Required
• Instance Tags (instance_tags) type: string: Only run on machines with matching tags (comma separated)

  Default: “”

Metrics Parameters

Cube Metric Parameters

• Metric Period (None) type: decimal: How often to sample metrics, in seconds

  Default: 60

  Choices: 1, 5, 10, 30, 60, 120, 180, 240, 300, Min: 1, Max: 300
• Cube Metrics (None) type: string: Set of metrics to be collected

  
  

  Choices: cpu, disk, memory, network