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{
"READY": true,
"name": "true_betalactamase_complete",
"task": "regression",
"cat_idx": [],
"num_samples": 12604,
"num_features": 480,
"description": "Sequence-level regression task predicting the fitness of all single codon substitutions in the TEM-1 Beta-lactamase gene. Labels measure the ability to confer ampicillin resistance. The Complete dataset contains all coding sequences (CDS) except those degenerate with any test-set CDS, using raw CDS fitness values. Train and test sets are derived from Firnberg et al. Features are mean-pooled ESM-2 (esm2_t12_35M_UR50D) sequence embeddings.",
"source": "InstaDeepAI/true-cds-protein-tasks (Hugging Face). Original data from Firnberg et al. \u2014 systematic fitness landscape of all single codon mutations in the TEM-1 Beta-lactamase gene synthesized in E. coli. Fitness measured as a weighted average of allele counts over ampicillin-concentration plates, normalised by WT fitness.",
"label": "Proteomics",
"sub_labels": [
"CDS-seq"
]
}