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Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis

Metadata Updated: September 2, 2022

The dataset and experimental and predicted amenability calls are provided in the supplemental file “Supplemental_ToxCast_PhaseII.xlsx”.

PaDEL descriptors were generated for each candidate and amenability predictions were calculated using both ESI+ and ESI- downsampled models. The resulting dataset is available in the supplemental file “Supplemental_Application.xlsx”. It should be noted that the dataset used in this demonstration is biased toward environmentally relevant chemicals, many of which appear in a large number of chemical lists on the Dashboard (see the DATA_SOURCES column in “Supplemental_Application.xlsx” for both ESI+ and ESI-).

Training and test datasets were constructed using the PaDEL descriptors and the ESI+ and ESI- endpoint values discussed previously. These training and test sets are provided in the supplemental file “Supplemental_train_test.xlsx”.

A list of descriptors is provided in the supplemental file “Supplemental_Descriptors.xlsx”.

A similar plot (Figure S1) of variable importance for the ESI+ upsampled model, and a similar plot (Figure S2) of variable importance for the ESI- upsampled model can be found in “Supplemental_Figures.docx”.

This dataset is associated with the following publication: Lowe, C., K. Isaacs, A. McEachran, C. Grulke, J. Sobus, E. Ulrich, A. Richard, A. Chao, J. Wambaugh, and A. Williams. Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis. Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 413(30): 7495-7508, (2021).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.1007/s00216-021-03713-w

Dates

Metadata Created Date September 2, 2022
Metadata Updated Date September 2, 2022

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date September 2, 2022
Metadata Updated Date September 2, 2022
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1524095
Data Last Modified 2021-06-03
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id fa8bbe42-af0a-4627-992d-d4536f6e5b34
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Program Code 020:000
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1007/s00216-021-03713-w
Source Datajson Identifier True
Source Hash 70338bcaaeb6ae24f7a4ac963b5d1a0a01054eb9
Source Schema Version 1.1

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