schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter module¶
This module allows use of ImmuneBuilder structure prediction, replacing (and disabling) the third-party modules openmm and pdbfixer.
WARNING: Importing this module will prevent the caller from using the third party modules openmm and pdbfixer.
- class schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.MockOpenMM¶
Bases:
object
These mocked modules are imported by ImmuneBuilder, but we don’t need them.
- app¶
alias of
schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.MockOpenMM.App
- LangevinIntegrator = None¶
- CustomExternalForce = None¶
- CustomTorsionForce = None¶
- OpenMMException = None¶
- Platform = None¶
- class schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.ImmuneBuilderType¶
Bases:
enum.Enum
- TCR = 'TCR'¶
- ANTIBODY = 'Antibody'¶
- NANOBODY = 'Nanobody'¶
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.predict_and_refine_model(model_type: schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.ImmuneBuilderType, seq_dict: dict[str, str], refine: bool = True) schrodinger.structure._structure.Structure ¶
Predict models of TCR, Antibody, or Nanobody
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.predict_model(model_type: schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.ImmuneBuilderType, seq_dict: dict[str, str], model_weights_dir=None) ImmuneBuilder.ABodyBuilder2.Antibody | ImmuneBuilder.TCRBuilder2.TCR | ImmuneBuilder.NanoBodyBuilder2.Nanobody ¶
Predict models of TCR, Antibody, or Nanobody
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.get_default_weights_dir()¶
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.refine_model(model: ImmuneBuilder.ABodyBuilder2.Antibody | ImmuneBuilder.TCRBuilder2.TCR | ImmuneBuilder.NanoBodyBuilder2.Nanobody)¶
Save and refine the top-ranked structure.
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.run_prepwizard(input_file: str, model_type: schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.ImmuneBuilderType, output_file: str = None, scheme: schrodinger.infra.util.AntibodyCDRScheme = None)¶
Run PrepWizard to minimize and clean up a predicted structure
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.cleanup_after_prep_calculation(directory: str = '.')¶
Remove intermediate files and hidden files created by Prep Wizard.
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.build_peptide_bonds(st: schrodinger.structure._structure.Structure)¶
Manually build peptide bonds between residues in a structure to ensure that PrepWizard preserves them.
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.save_and_refine_models(seqs: dict[str, str], model_type: schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.ImmuneBuilderType, dirname: str = None, filename: str = None, scheme: schrodinger.infra.util.AntibodyCDRScheme = None, num_structures_to_save: int = 1) int ¶
Save all structures to files, refine the best-ranked structure, and add error estimates.
- Parameters
seqs – A dictionary of sequences to model.
model_type – The ImmuneBuilder modeling type.
dirname – The directory to save the files.
filename – The filename to save the refined structure.
scheme – The numbering scheme to use.
num_structures_to_save – The number of structures to save.
- Returns
The number of successful models saved.
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.get_critical_reliability_issues(input_file: str)¶
Check for critical reliability issues in a structure.
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.get_scheme_for_arg(scheme_arg: str) schrodinger.infra.util.AntibodyCDRScheme | None ¶
Get the antibody CDR scheme based on the provided argument.
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.get_compatible_sequences_from_fasta(fasta_file: str, model_type: schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.ImmuneBuilderType) dict[str, str] ¶
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.get_seqs_from_fasta_file(fasta_file: str) list[str] ¶
Read a FASTA file and return the sequences as a list
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.get_compatible_sequences_dict(sequences: list[str], model_type: schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.ImmuneBuilderType) dict[str, str] ¶
Read a FASTA file and return a dictionary of sequences to model with the provided ImmuneBuilder modeling type
- schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.get_arg_parser(model_type: schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.ImmuneBuilderType, program_name: str, description: str, exp_fasta_contents: str, allowed_schemes: list[str] = None) argparse.ArgumentParser ¶
- class schrodinger.application.bioluminate.immunebuilder.immunebuilder_adapter.ValidateNumStructures(option_strings, dest, nargs=None, const=None, default=None, type=None, choices=None, required=False, help=None, metavar=None)¶
Bases:
argparse.Action