SingleTorsion

pydantic model openff.qcsubmit.workflow_components.SingleTorsion[source]

A class used to mark torsions that will be driven for torsiondrive datasets.

Note

This is only for 1D torsiondrives.

Show JSON schema
{
   "title": "SingleTorsion",
   "description": "A class used to mark torsions that will be driven for torsiondrive datasets.\n\nNote:\n    This is only for 1D torsiondrives.",
   "type": "object",
   "properties": {
      "torsion1": {
         "title": "Torsion1",
         "description": "The torsion which is to be driven.",
         "type": "array",
         "minItems": 4,
         "maxItems": 4,
         "items": [
            {
               "type": "integer"
            },
            {
               "type": "integer"
            },
            {
               "type": "integer"
            },
            {
               "type": "integer"
            }
         ]
      },
      "scan_range1": {
         "title": "Scan Range1",
         "description": "The scan range used in the torsion drive",
         "type": "array",
         "minItems": 2,
         "maxItems": 2,
         "items": [
            {
               "type": "integer"
            },
            {
               "type": "integer"
            }
         ]
      },
      "scan_increment": {
         "title": "Scan Increment",
         "description": "The value in degrees between each grid point in the scan.",
         "default": [
            15
         ],
         "type": "array",
         "items": {
            "type": "integer"
         }
      },
      "symmetry_group1": {
         "title": "Symmetry Group1",
         "description": "The symmetry of the central atoms in the torsion used to deduplicate symmetrical torsions.",
         "type": "array",
         "minItems": 2,
         "maxItems": 2,
         "items": [
            {
               "type": "integer"
            },
            {
               "type": "integer"
            }
         ]
      }
   },
   "required": [
      "torsion1",
      "symmetry_group1"
   ]
}

Config

  • allow_mutation: bool = False

  • arbitrary_types_allowed: bool = True

  • json_encoders: dict = {<class ‘numpy.ndarray’>: <function ResultsConfig.Config.<lambda> at 0x7f2da9ea5e40>, <enum ‘Enum’>: <function ResultsConfig.Config.<lambda> at 0x7f2da9ea5da0>}

Fields

  • scan_increment (List[int])

  • scan_range1 (Optional[Tuple[int, int]])

  • symmetry_group1 (Tuple[int, int])

  • torsion1 (Tuple[int, int, int, int])

Validators

  • order_scan_range » scan_range1

  • order_scan_range » symmetry_group1

  • order_torsion » torsion1

field torsion1: Tuple[int, int, int, int] [Required]

The torsion which is to be driven.

Validated by

  • order_torsion

field scan_range1: Optional[Tuple[int, int]] = None

The scan range used in the torsion drive

Validated by

  • order_scan_range

field scan_increment: List[int] = [15]

The value in degrees between each grid point in the scan.

field symmetry_group1: Tuple[int, int] [Required]

The symmetry of the central atoms in the torsion used to deduplicate symmetrical torsions.

Validated by

  • order_scan_range

property central_bond: Tuple[int, int]

Get the sorted index of the central bond.

property get_dihedrals: List[Tuple[int, int, int, int]]

Get the formatted representation of the dihedrals to scan over.

property get_scan_range: Optional[List[Tuple[int, int]]]

Get the formatted representation of the dihedral scan ranges.

property get_atom_map: Dict[int, int]

Create an atom map which will tag the correct dihedral atoms.