skbio.embedding.ProteinEmbedding

class skbio.embedding.ProteinEmbedding(embedding, sequence, clip_head=False, clip_tail=False, **kwargs)

Embedding of a protein sequence.

Parameters:

embeddingarray_like

The embedding of the protein sequence. Row vectors correspond to the latent residues coordinates.

sequencestr, Protein, or 1D ndarray

Characters representing the protein sequence itself.

clip_headbool, optional

If True, then the first row of the embedding will be removed. Some language models specify start tokens, and this parameter can be used to account for this.

clip_tailbool, optional

If True, then the last row of the embedding will be removed. Some language models specify end tokens, and this parameter can be used to account for this.

See also

skbio.sequence.Protein

Examples

>>> from skbio.embedding import ProteinEmbedding
>>> import numpy as np
>>> embedding = np.random.rand(10, 3)
>>> sequence = "ACDEFGHIKL"
>>> ProteinEmbedding(embedding, sequence)
ProteinEmbedding
--------------------------
Stats:
    length: 10
    embedding dimension: 3
    has gaps: False
    has degenerates: False
    has definites: True
    has stops: False
--------------------------
0 ACDEFGHIKL

Attributes

default_write_format
embedding	The embedding tensor.
ids	IDs corresponding to each row of the embedding.
residues	Array containing underlying residue characters.
sequence	String representation of the underlying sequence.

Built-ins

__eq__(value, /)	Return self==value.
__ge__(value, /)	Return self>=value.
__getstate__(/)	Helper for pickle.
__gt__(value, /)	Return self>value.
__hash__(/)	Return hash(self).
__le__(value, /)	Return self<=value.
__lt__(value, /)	Return self<value.
__ne__(value, /)	Return self!=value.
__str__()	String representation of the underlying sequence.

Methods

bytes()	Bytes representation of string encoding.
read(file[, format])	Create a new ProteinEmbedding instance from a file.
write(file[, format])	Write an instance of ProteinEmbedding to a file.