Lomap API guide#

class lomap.LomapAtomMapper(*, time: int = 20, threed: bool = True, max3d: float = 1.0, element_change: bool = True, seed: str = '', shift: bool = False)#

Wraps the MCS atom mapper from Lomap.

Kwargs are passed directly to the MCS class from Lomap for each mapping created

Parameters:

time (int, optional) – timeout of MCS algorithm, passed to RDKit default 20
threed (bool, optional) – if true, positional info is used to choose between symmetrically equivalent mappings and prune the mapping, default True
max3d (float, optional) – maximum discrepancy in Angstroms between atoms before mapping is not allowed, default 1000.0, which effectively trims no atoms
element_change (bool, optional) – whether to allow element changes in the mappings, default True
seed (str, optional) – SMARTS string to use as seed for MCS searches. When used across an entire set of ligands, this can speed up calculations considerably
shift (bool, optional) – when determining 3D overlap, if to translate the two molecules MCS to minimise RMSD to boost potential alignment.

copy_with_replacements(**replacements)#

Make a modified copy of this object.

Since GufeTokenizables are immutable, this is essentially a shortcut to mutate the object. Note that the keyword arguments it takes are based on keys of the dictionaries used in the the _to_dict/_from_dict cycle for this object; in most cases that is the same as parameters to __init__, but not always.

This will always return a new object in memory. So using obj.copy_with_replacements() (with no keyword arguments) is a way to create a shallow copy: the object is different in memory, but its attributes will be the same objects in memory as the original.

Parameters:: replacements (Dict) – keyword arguments with keys taken from the keys given by the output of this object’s to_dict method.

classmethod defaults()#

Dict of default key-value pairs for this GufeTokenizable object.

These defaults are stripped from the dict form of this object produced with to_dict(include_defaults=False) where default values are present.

classmethod from_dict(dct: Dict)#

Generate an instance from full dict representation.

Parameters:: dct (Dict) – A dictionary produced by to_dict to instantiate from. If an identical instance already exists in memory, it will be returned. Otherwise, a new instance will be returned.

classmethod from_keyed_dict(dct: Dict)#

Generate an instance from keyed dict representation.

Parameters:: dct (Dict) – A dictionary produced by to_keyed_dict to instantiate from. If an identical instance already exists in memory, it will be returned. Otherwise, a new instance will be returned.

classmethod from_shallow_dict(dct: Dict)#

Generate an instance from shallow dict representation.

Parameters:: dct (Dict) – A dictionary produced by to_shallow_dict to instantiate from. If an identical instance already exists in memory, it will be returned. Otherwise, a new instance will be returned.

property logger#: Return logger adapter for this instance

classmethod serialization_migration(old_dict: dict, version: int) → dict#

Migrate old serialization dicts to the current form.

The input dict old_dict comes from some previous serialization version, given by version. The output dict should be in the format of the current serialization dict.

The recommended pattern to use looks like this:

def serialization_migration(cls, old_dict, version):
    if version == 1:
        ...  # do things for migrating version 1->2
    if version <= 2:
        ...  # do things for migrating version 2->3
    if version <= 3:
        ...  # do things for migrating version 3->4
    # etc

This approach steps through each old serialization model on its way to the current version. It keeps code relatively minimal and readable.

As a convenience, the following functions are available to simplify the various kinds of changes that are likely to occur in as serializtion versions change:

new_key_added()
old_key_removed()
key_renamed()
nested_key_moved()

Parameters:

old_dict (dict) – dict as received from a serialized form
version (int) – the serialization version of old_dict

Returns:

serialization dict suitable for the current implmentation of from_dict.

Return type:

dict

suggest_mappings(componentA: SmallMoleculeComponent, componentB: SmallMoleculeComponent) → Iterable[LigandAtomMapping]#

Generate one or more mappings between two small molecules

Parameters:

componentA (gufe.SmallMoleculeComponent) –
componentB (gufe.SmallMoleculeComponent) –

Returns:

mapping – potential mappings

Return type:

Iterable[LigandAtomMapping]

to_dict(include_defaults=True) → dict#

Generate full dict representation, with all referenced GufeTokenizable objects also given in full dict representations.

Parameters:: include_defaults (bool) – If False, strip keys from dict representation with values equal to those in defaults.