Automated Author ProfileJACQUENET, Sandrine
Dept Toxicologie et Biométrologie ; Institut national de recherche et de sécurité pour la prévention des accidents du travail et des maladies professionnelles (INRS) ; France0009-0003-4244-1808
JACQUENET, Sandrine
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 7.7 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Contains all compounds with the sensitization labels interpreted from different end points. For logical variables, 0 means "non-sensitizing" and 1 means "sensitizing". The file is in MDL SDF format. Updated label for 4-acetoxybenzoic acid.
Authors
- CHEDIK, Lisa ;
- BAYBEKOV, Shamkhal ;
- MARCOU, Gilles ;
- COSNIER, Frédéric ;
- MOUROT-BOUSQUENAUD, Mélanie ;
- JACQUENET, Sandrine ;
- VARNEK, Alexandre ;
- BATTAIS, Fabrice
This file contains the dataset used for training of a quantitative structure-activity relationship (QSAR) model that predicts skin sensitization according to bone marrow-derived dendritic cells (BMDC) assay. The file is in MDL SDF format. Updated label for 4-acetoxybenzoic acid.
Authors
- CHEDIK, Lisa ;
- BAYBEKOV, Shamkhal ;
- MARCOU, Gilles ;
- COSNIER, Frédéric ;
- MOUROT-BOUSQUENAUD, Mélanie ;
- JACQUENET, Sandrine ;
- VARNEK, Alexandre ;
- BATTAIS, Fabrice
Workflow of the preparation and analysis of the data. To used with the KNIME software (https://www.knime.com/) version 4.6.5 and later. Updated labels for 4-acetoxybenzoic acid.
Authors
- CHEDIK, Lisa ;
- BAYBEKOV, Shamkhal ;
- MARCOU, Gilles ;
- COSNIER, Frédéric ;
- MOUROT-BOUSQUENAUD, Mélanie ;
- JACQUENET, Sandrine ;
- VARNEK, Alexandre ;
- BATTAIS, Fabrice
Contains all compounds with the sensitization labels interpreted from different end points. For logical variables, 0 means "non-sensitizing" and 1 means "sensitizing". The file is in MDL SDF format.
Authors
- CHEDIK, Lisa ;
- BAYBEKOV, Shamkhal ;
- MARCOU, Gilles ;
- COSNIER, Frédéric ;
- MOUROT-BOUSQUENAUD, Mélanie ;
- JACQUENET, Sandrine ;
- VARNEK, Alexandre ;
- BATTAIS, Fabrice
This dataset was used for training of a quantitative structure-activity relationship (QSAR) model that predicts skin sensitization according to bone marrow-derived dendritic cells (BMDC) assay. File: skin_sens_bmdc.sdf The dataset is provided as one file, skin_sens_bmdc.sdf in MDL SDF format (see for instance https://discover.3ds.com/sites/default/files/2020-08/biovia_ctfileformats_2020.pdf). Descriptions of the fields are given below: SMILES (string) SMILES (Simplified Molecular Input Line Entry System) is a representation of a molecule in string format. CAS number (string) CAS (Chemical Abstract Service) is a unique and unambiguous identifier of a molecule or a substance. Compound_name (string) A common chemical name of a compound or a subtance. LLNA_potency (nominal) Skin sensitization potency according to LLNA assay categories. Levels are: NS (non-sensitizer), Weak, Moderate, Strong, Extreme. LLNA_class (integer) Binary skin sensitization classification based on LLNA assay: 0 - non-sensitizer; 1 - sensitizer. BMDC_class (integer) Binary skin sensitization classification based on BMDC assay: 0 - non-sensitizer; 1 - sensitizer. File: All_Sensitization_Labels.sdf The file All_Sensitization_Labels.sdf contains all compounds with the sensitization labels interpreted from different end points. For logical variables, 0 means "non-sensitizing" and 1 means "sensitizing". Compound_name (string) A common chemical name of a compound or a substance LLNA_Call_ICE (string) LLNA call from the ICE database LLNA_pEC3_ICE (float) LLNA pEC3 from the ICE database Class_LLNA (logical, 0 or 1) Sensitization class for LLNA Class_LuSens_ICE (logical, 0 or 1) Sensitization class for LuSens Class_U-SENS_ICE (logical, 0 or 1) Sensitization class for U-SENS Class_hCLAT_ICE (logical, 0 or 1) Sensitization class for hCLAT Class_mMUSST_ICE (logical, 0 or 1) Sensitization class for mMUSST Class_DPRA_ICE (logical, 0 or 1) Sensitization class for DPRA Class_KeratinoSens_ICE (logical, 0 or 1) Sensitization class for KeratinoSens Class_BMDC (logical, 0 or 1) Sensitization class for BMDC Prediction_PredSkin (logical, 0 or 1) Sensitization class predicted by the PredSkin model Class_Human_PredSkin (logical, 0 or 1) Sensitization class for human from PredSkin dataset Class_LLNA_PredSkin (logical, 0 or 1) Sensitization class for LLNA from PredSkin dataset Confidence_PredSkin (nominal, "Low", "Medium", "High") Sensitization class confidence of the prediction by the PredSkin model. All entries have the confidence equal to "High" CAS (string) Chemical Abstrasct Service Registry Number of the molecule or substance CAS_Tropsha (string) Chemical Abstrasc Service Registry Number of the molecule or substance according to PredSkin training set File: data_preparation_and_analyis.knwf The file data_preparation_and_analysis.knwf is a workflow for the KNIME software version 4.6.5 and later (https://www.knime.com/). The workflow was developed and used for pairwise comparison of different skin sensitization assay labels. It is shipped with the raw data. Updates: 22/02/2024 - 4-acetoxybenzoic acid LLNA label 1 (old) changed to 0 (new).
Authors
- CHEDIK, Lisa ;
- BAYBEKOV, Shamkhal ;
- MARCOU, Gilles ;
- COSNIER, Frédéric ;
- MOUROT-BOUSQUENAUD, Mélanie ;
- JACQUENET, Sandrine ;
- VARNEK, Alexandre ;
- BATTAIS, Fabrice
Description of the dataset
Authors
- CHEDIK, Lisa ;
- BAYBEKOV, Shamkhal ;
- MARCOU, Gilles ;
- COSNIER, Frédéric ;
- MOUROT-BOUSQUENAUD, Mélanie ;
- JACQUENET, Sandrine ;
- VARNEK, Alexandre ;
- BATTAIS, Fabrice
This file contains the dataset used for training of a quantitative structure-activity relationship (QSAR) model that predicts skin sensitization according to bone marrow-derived dendritic cells (BMDC) assay. The file is in MDL SDF format.
Authors
- CHEDIK, Lisa ;
- BAYBEKOV, Shamkhal ;
- MARCOU, Gilles ;
- COSNIER, Frédéric ;
- MOUROT-BOUSQUENAUD, Mélanie ;
- JACQUENET, Sandrine ;
- VARNEK, Alexandre ;
- BATTAIS, Fabrice
Workflow of the preparation and analysis of the data. To used with the KNIME software (https://www.knime.com/) version 4.6.5 and later.
Authors
- CHEDIK, Lisa ;
- BAYBEKOV, Shamkhal ;
- MARCOU, Gilles ;
- COSNIER, Frédéric ;
- MOUROT-BOUSQUENAUD, Mélanie ;
- JACQUENET, Sandrine ;
- VARNEK, Alexandre ;
- BATTAIS, Fabrice