Source code for openprotein.fold.minifold

"""Community-based MiniFold model."""

from typing import Sequence

from openprotein.base import APISession
from openprotein.common import ModelMetadata
from openprotein.fold.common import normalize_inputs, serialize_input
from openprotein.molecules import Complex, Protein

from . import api
from .future import FoldResultFuture
from .models import FoldModel


[docs] class MiniFoldModel(FoldModel): """ Class providing inference endpoints for MiniFold. """ model_id: str = "minifold" def __init__( self, session: APISession, model_id: str, metadata: ModelMetadata | None = None, ): super().__init__(session=session, model_id=model_id, metadata=metadata)
[docs] def fold( self, sequences: Sequence[Complex | Protein | str | bytes], num_recycles: int | None = None, **_, ) -> FoldResultFuture: """ Fold sequences using this model. Parameters ---------- sequences : Sequence[bytes | str] sequences to fold num_recycles : int | None number of times to recycle models Returns ------- FoldResultFuture """ normalized_complexes = normalize_inputs(sequences) for complex in normalized_complexes: if len(complex.get_proteins()) > 1: raise ValueError("MiniFold only supports monomers") if len(complex.get_chains()) != len(complex.get_proteins()): raise ValueError("MiniFold only supports proteins") _models = serialize_input(self.session, normalized_complexes, needs_msa=False) result = FoldResultFuture( session=self.session, job=api.fold_models_post( session=self.session, model_id=self.model_id, sequences=_models, num_recycles=num_recycles, ), complexes=normalized_complexes, ) return result