torchcell.datamodels.schema.DampPerturbation

class DampPerturbation(*, systematic_gene_name: str, perturbed_gene_name: str, gene_namespace: Literal['scerevisiae_s288c_sgd_systematic', 'scerevisiae_cenpk113_7d_locus_tag', 'scerevisiae_peter2018_pangenome_orf', 'ecoli_k12_mg1655_bnumber', 'ecoli_k12_bw25113_locus_tag', 'pputida_kt2440_locus_tag', 'ecoli_b_rel606_locus_tag', 'ecoli_k12_w3110_refseq_locus_tag'] = 'scerevisiae_s288c_sgd_systematic', identifier_mapping: DerivedIdentifierMapping | None = None, provenance: str = 'engineered', mechanism_so_id: str = 'SO:0001060', mechanism_so_name: str = 'sequence_variant', description: str = '4-10 decreased expression via KANmx insertion at the ', expression_range: ExpressionRangeMultiplier = ExpressionRangeMultiplier(min=0.1, max=0.25), perturbation_type: Literal['damp'] = 'damp')

Bases: SequencePerturbation, ModelStrict

Decreased-abundance-by-mRNA-perturbation (DAmP) allele perturbation.

description: str

the 3’ UTR of the target gene.

model_config: ClassVar[ConfigDict] = {'extra': 'forbid', 'frozen': True}

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