Sequence Input

Input sequence(s) to be used for AI folding.

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
  • Maximum Number of Residues (max_num_res) type: integer: Maximum number of residues allowed for a single chain in the input sequence. Exceeding this number will skip the errant sequence.
    Default: 700
  • 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
  • Run with Multimer (multimer) type: boolean: Option to run floe with multimer settings on. If false and a multimeric sequence is detected, the errant sequence will be skipped.
    Default: True
  • Sequence to run AI Folding (sequence_param) type: string: Sequence(s) to run structure prediction. If providing a sequence that contains a multimer, delineate chains with ‘:’ punctuation. To perform independent runs of multiple sequences, delineate different sequences with a ‘^’ and ensure sequences respectively match their counterpart in the ‘Sequence Title’ parameter.
  • Sequence Title (sequence_titles) type: string: Title(s) to the independent runs from the ‘Sequence to run AI Folding’ parameter. Delineate each run with a ‘^’ and ensure titles match their counterpart in the ‘Sequence to run AI Folding’ parameter. If a mismatch is observed, a distinct title will be generated in the format: ‘Sequence_1^Sequence_2^…’
  • Shared Memory (MiB) (shared_memory_mb) type: decimal: The amount of shared memory to allow a container to address
    Default: 64
  • Spot policy (spot_policy) type: string: Control cube placement on spot market instances
    Default: Prohibited
    Choices: Allowed, Preferred, NotPreferred, Prohibited, Required

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
  • Shared Memory (MiB) (shared_memory_mb) type: decimal: The amount of shared memory to allow a container to address
    Default: 64
  • 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