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@@ -26,16 +26,198 @@ citation: >-
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  }
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  config_names:
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  - Boldini2024
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- dataset_info:
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- config_name: Boldini2024
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  data_files:
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  - GPCR_sanitized.csv
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  - GPCR2_sanitized.csv
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  - GPCR3_sanitized.csv
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-
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-
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-
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Boldini2024 (Assay-Interfering-Compounds Finder)
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  17 Datasets that are used to employ Minimum Variance Sampling Analysis (MVS-A) to find Assay Interfering Compounds (AIC) in High Throughput Screening data.
 
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  }
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  config_names:
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  - Boldini2024
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+ configs:
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+ - config_name: Boldini2024
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  data_files:
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  - GPCR_sanitized.csv
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  - GPCR2_sanitized.csv
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  - GPCR3_sanitized.csv
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+ - channel_atp_sanitized.csv
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+ - cysteine_protease_sanitized.csv
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+ - IonChannel_sanitized.csv
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+ - IonChannel2_sanitized.csv
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+ - IonChannel3_sanitized.csv
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+ - kinase_sanitized.csv
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+ - serine_sanitized.csv
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+ - splicing_sanitized.csv
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+ - transcrption_sanitized.csv
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+ - transcription2_sanitized.csv
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+ - transcription3_sanitized.csv
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+ - transporter_sanitized.csv
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+ - ubiquitin_sanitized.csv
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+ - zinc_finger_sanitized.csv
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+ dataset_info:
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+ - config_name: GPCR_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: GPCR2_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: GPCR3_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: channel_atp_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: cysteine_protease_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: IonChannel_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: IonChannel2_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: IonChannel3_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: kinase_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: serine_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: splicing_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: transcription_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: transcription2_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: transcription3_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: transporter_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: ubiquitin_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+ - config_name: zinc_finger_sanitized
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+ features:
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+ - name: "new SMILES"
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+ dtype: string
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+ - name: "Primary"
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+ dtype: int64
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+ - name: "Score"
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+ dtype: float64
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+ - name: "Confirmatory"
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+ dtype: float64
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+
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  ---
222
  # Boldini2024 (Assay-Interfering-Compounds Finder)
223
  17 Datasets that are used to employ Minimum Variance Sampling Analysis (MVS-A) to find Assay Interfering Compounds (AIC) in High Throughput Screening data.