schrodinger.application.steps.ligprep module¶

class schrodinger.application.steps.ligprep.LigPrepStep(*args, **kwargs)¶

Bases: schrodinger.stepper.stepper.MapStep

A step that implements the basic lig prep functionality of Structure objects.

The settings is the list of command line arguments that are usually passed to the ligprep script, excluding the input and output arguments.

Within one process more than one LigPrepStep is allowed to be created only if the settings are the same, to avoid problems if both use ‘-epik’.

There are issues with generating tautomers even if the first generator is closed (LIGPREP-1941).

getLicenseRequirements()¶

class Settings(*args, _param_type=<object object>, **kwargs)¶

Bases: schrodinger.models.parameters.CompoundParam

arg_string: str¶

Base class for all Param classes. A Param is a descriptor for storing data, which means that a single Param instance will manage the data values for multiple instances of the class that owns it. Example:

class Coord(CompoundParam):
    x: int
    y: int

An instance of the Coord class can be created normally, and Params can be accessed as normal attributes:

coord = Coord()
coord.x = 4

When a Param value is set, the valueChanged signal is emitted. Params can be serialized and deserialized to and from JSON. Params can also be nested:

class Atom(CompoundParam):
    coord: Coord
    element: str

ligprep_filter_file: schrodinger.stepper.stepper.StepperFile¶

Base class for all Param classes. A Param is a descriptor for storing data, which means that a single Param instance will manage the data values for multiple instances of the class that owns it. Example:

class Coord(CompoundParam):
    x: int
    y: int

An instance of the Coord class can be created normally, and Params can be accessed as normal attributes:

coord = Coord()
coord.x = 4

When a Param value is set, the valueChanged signal is emitted. Params can be serialized and deserialized to and from JSON. Params can also be nested:

class Atom(CompoundParam):
    coord: Coord
    element: str

arg_stringChanged¶

pyqtSignal(*types, name: str = …, revision: int = …, arguments: Sequence = …) -> PYQT_SIGNAL

types is normally a sequence of individual types. Each type is either a type object or a string that is the name of a C++ type. Alternatively each type could itself be a sequence of types each describing a different overloaded signal. name is the optional C++ name of the signal. If it is not specified then the name of the class attribute that is bound to the signal is used. revision is the optional revision of the signal that is exported to QML. If it is not specified then 0 is used. arguments is the optional sequence of the names of the signal’s arguments.

arg_stringReplaced¶

pyqtSignal(*types, name: str = …, revision: int = …, arguments: Sequence = …) -> PYQT_SIGNAL

types is normally a sequence of individual types. Each type is either a type object or a string that is the name of a C++ type. Alternatively each type could itself be a sequence of types each describing a different overloaded signal. name is the optional C++ name of the signal. If it is not specified then the name of the class attribute that is bound to the signal is used. revision is the optional revision of the signal that is exported to QML. If it is not specified then 0 is used. arguments is the optional sequence of the names of the signal’s arguments.

ligprep_filter_fileChanged¶

pyqtSignal(*types, name: str = …, revision: int = …, arguments: Sequence = …) -> PYQT_SIGNAL

types is normally a sequence of individual types. Each type is either a type object or a string that is the name of a C++ type. Alternatively each type could itself be a sequence of types each describing a different overloaded signal. name is the optional C++ name of the signal. If it is not specified then the name of the class attribute that is bound to the signal is used. revision is the optional revision of the signal that is exported to QML. If it is not specified then 0 is used. arguments is the optional sequence of the names of the signal’s arguments.

ligprep_filter_fileReplaced¶

pyqtSignal(*types, name: str = …, revision: int = …, arguments: Sequence = …) -> PYQT_SIGNAL

types is normally a sequence of individual types. Each type is either a type object or a string that is the name of a C++ type. Alternatively each type could itself be a sequence of types each describing a different overloaded signal. name is the optional C++ name of the signal. If it is not specified then the name of the class attribute that is bound to the signal is used. revision is the optional revision of the signal that is exported to QML. If it is not specified then 0 is used. arguments is the optional sequence of the names of the signal’s arguments.

validateSettings()¶

Check whether the step settings are valid and return a list of SettingsError and SettingsWarning to report any invalid settings. Default implementation checks that all stepper files are set to valid file paths.

Return type: list[TaskError or TaskWarning]

mapFunction(struc)¶

The main computation for this step. This function should take in a single input item and return an iterable of outputs. This allows a single output to produce multiple ouputs (e.g. enumeration).

The output may be yielded as a generator, in order to reduce memory usage.

If only a single output is produced for each input, return it as a single-element list.

Parameters

input –

this will be a single input item from the input source. Implementer is encouraged to use a more descriptive, context- specific variable name. Example:

def mapFunction(self, starting_smiles):
…

cleanUp()¶: Hook for adding any type of work that needs to happen after all outputs are exhausted or if some outputs are created and the step is destroyed.

class schrodinger.application.steps.ligprep.LigandPrepper(*args, **kwargs)¶

Bases: schrodinger.application.steps.dataclasses.MolMolMixin, schrodinger.application.steps.ligprep.LigPrepStep