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license: mit

license: mit language: - en pretty_name: ABX-CT-003 Collateral Sensitivity Pattern tags: - antibiotics - combination-therapy - collateral-sensitivity - mic - resistance - tabular task_categories: - tabular-classification size_categories: - n<1k

ABX-CT-003 Collateral Sensitivity Pattern

Purpose

Detect the paired pattern where resistance to Drug A coincides with increased sensitivity to Drug B.

Core pattern

  • stress_index high
  • Drug A MIC crosses a_resistant_cutoff_mg_L
  • Drug B MIC drops at least 2x vs baseline and reaches a low floor
  • Drug B drop occurs at the same or next timepoint in v1

Files

  • data/train.csv
  • data/test.csv
  • scorer.py

Schema

Each row is one timepoint in a within strain series.

Required columns

  • row_id
  • series_id
  • timepoint_h
  • organism
  • strain_id
  • drug_a
  • drug_b
  • stress_index
  • baseline_mic_a_mg_L
  • baseline_mic_b_mg_L
  • mic_a_mg_L
  • mic_b_mg_L
  • a_resistant_cutoff_mg_L
  • b_susceptible_floor_mg_L
  • b_sensitivity_fold_change
  • media
  • assay_method
  • source_type
  • collateral_sensitivity_signal
  • earliest_collateral_sensitivity

Labels

  • collateral_sensitivity_signal

    • 1 for rows at or after the first detected collateral sensitivity row
  • earliest_collateral_sensitivity

    • 1 only for the first detected row in that series

Scorer logic in v1

  • baseline Drug A must be below resistant cutoff
  • find first time Drug A crosses resistant cutoff under stress
  • collateral sensitivity triggers if Drug B at the same or next timepoint
    • drops by at least 2x vs baseline
    • reaches b_susceptible_floor_mg_L or lower

Evaluation

Run

  • python scorer.py --path data/test.csv