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Make ensembling slightly faster
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src/models/ensemble_generation.py

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from src.utils.model_utils import calculate_rmsd
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METHODS_PREDICTING_HOLO_PROTEIN_AB_INITIO = {"neuralplexer", "rfaa"}
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ENSEMBLE_PREDICTIONS = Dict[str, List[Tuple[str, str]]]
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RANKED_ENSEMBLE_PREDICTIONS = Dict[int, Tuple[str, str, str, float]]
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METHODS_PREDICTING_HOLO_PROTEIN_AB_INITIO = ["neuralplexer", "rfaa"]
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# NOTE: the following sequence is derived from `5S8I_2LY.pdb` of the PoseBusters Benchmark set
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LIGAND_ONLY_RECEPTOR_PLACEHOLDER_SEQUENCE = "DSLFAGLVGEYYGTNSQLNNISDFRALVDSKEADATFEAANISYGRGSSDVAKGTHLQEFLGSDASTLSTDPGDNTDGGIYLQGYVYLEAGTYNFKVTADDGYEITINGNPVATVDNNQSVYTVTHASFTISESGYQAIDMIWWDQGGDYVFQPTLSADGGSTYFVLDSAILSSTGETPY"

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