Entry

class emdb.models.entry.EMDBEntry(*, id: str, method: str | None = None, resolution: float | None = None, admin: Dict, citations: Dict, related_emdb_ids: List[Dict], related_pdb_ids: List[Dict], sample: Dict, structure_determination_list: List[Dict], modelling: List[Dict] | None = None, primary_map: PrimaryMapFile, metadata_files: List[EMDBMetadataXMLFile | EMDBMetadataCIFFile] = [], pdb_models: List[ModelCifFile] | None = [], half_maps: List[HalfMapFile] | None = [], additional_maps: List[AdditionalMapFile] | None = [], masks: List[MaskFile] | None = [], figure: FigureFile)

Bases: BaseModel

classmethod from_api(data: dict, client: EMDB) → EMDBEntry

Create an EMDBEntry instance from API data.

Parameters:

• data – Dictionary containing EMDB entry data.

• client – An instance of EMDB client to interact with the API.

Returns:

An instance of EMDBEntry.

download_all_files(directory: str) → None

Download all files associated with this EMDB entry to the specified directory.

Parameters:

directory – The directory where files will be downloaded.

get_annotations() → EMDBAnnotations | None

Retrieve annotations for this EMDB entry.

Returns:

An instance of EMDBAnnotations if available, otherwise None.

get_validation() → EMDBValidation | None

Retrieve the validation data for this EMDB entry.

Returns:

An instance of EMDBValidation if available, otherwise None.

model_post_init(context: Any, /) → None

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self – The BaseModel instance.

• context – The context.

additional_maps: List[AdditionalMapFile] | None

admin: Dict

citations: Dict

property deposited_files: List[PrimaryMapFile | HalfMapFile | AdditionalMapFile | MaskFile | FigureFile | ModelCifFile]

Retrieve all files associated with this EMDB entry.

Returns:

A list of all file objects associated with the EMDB entry.

figure: FigureFile

half_maps: List[HalfMapFile] | None

id: str

masks: List[MaskFile] | None

metadata_files: List[EMDBMetadataXMLFile | EMDBMetadataCIFFile]

method: str | None

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

modelling: List[Dict] | None

pdb_models: List[ModelCifFile] | None

primary_map: PrimaryMapFile

related_emdb_ids: List[Dict]

related_pdb_ids: List[Dict]

resolution: float | None

sample: Dict

structure_determination_list: List[Dict]