High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are of increasing interest in chemical forensics for the identification of emerging contaminants and chemical signatures of interest. At the US Environmental Protection Agency, our research using HRMS for non-targeted and suspect screening analyses utilizes databases and cheminformatics approaches that are applicable to chemical forensics. The CompTox Chemicals Dashboard is an open chemistry resource and web-based application containing data for ~900,000 substances. Basic functionality for searching through the data is provided through identifier searches, such as systematic name, trade names and CAS Registry Numbers. Advanced Search capabilities supporting mass spectrometry include mass and formula-based searches, combined substructure-mass searches and searching experimental mass spectral data against predicted fragmentation spectra. A specific type of data mapping in the underpinning database, using “MS-Ready” structures, has proven to be a valuable approach for structure identification that links structures that can be identified via HRMS with related substances in the form of salts, and other multi-component mixtures that are available in commerce. These MS-Ready structures have been used as an input set for computational MS-fragmentation to provide a database against which to search experimental data for spectral matching. This presentation will provide an overview of how the CompTox Chemicals Dashboard supports structure identification and non-targeted analysis in chemical forensics. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.
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Applications of the US EPA’s CompTox Chemistry Dashboard to support structure identification and chemical forensics using mass spectrometry
1. The EPA CompTox Chemicals Dashboard to
support structure identification and chemical
forensics using mass spectrometry
Fall 2019
ACS Fall Meeting, San Diego
http://www.orcid.org/0000-0002-2668-4821
The views expressed in this presentation are those of the author and do not necessarily reflect the views or policies of the U.S. EPA
Antony Williams1, Alex Chao2, Tom Transue3, Tommy Cathey3,
Elin Ulrich4 and Jon Sobus4
1) National Center for Computational Toxicology, U.S. Environmental Protection Agency, RTP, NC
2) Oak Ridge Institute of Science and Education (ORISE) Research Participant, RTP, NC
3) General Dynamics Information Technology, RTP, NC
4) National Exposure Research Laboratory, U.S. Environmental Protection Agency, RTP, NC
2. Overview
• The CompTox Chemicals Dashboard - web-
based database of 875k substances
• Associated data including:
– Experimental and predicted physicochemical data
– In vivo hazard data
– In vitro bioactivity screening data
– Link farm to tens of public resources
• Integrated modules – read-across, lit search
• Data mappings and searches supporting
Mass Spectrometry & structure identification
1
31. MS-Ready Mappings
• 125 chemicals returned in total
– 8 of the 125 are single component chemicals
– 3 of the 8 are isotope-labeled
– 3 are neutral compounds and 2 are charged
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32. Batch Searching
• Singleton searches are useful but we work
with thousands of masses and formulae!
• Typical questions
– What is the list of chemicals for the formula CxHyOz
– What is the list of chemicals for a mass +/- error
– Can I get chemical lists in Excel files? In SDF files?
– Can I include properties in the download file?
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43. List Registration Activities
• Registering and curating numerous lists
– NIST library of chemicals
– United States Geological Survey chemicals in water
– Scientific Working Group for the Analysis of Seized Drugs
– Synthetic Cannabinoids
– Mycotoxins
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44. Work in Progress
• CFM-ID
– Viewing and Downloading pre-predicted spectra
– Search spectra against the database
• Structure/substructure/similarity search
• Access to API and web services
43
60. Conclusion
• Dashboard access to data for ~875,000 chemicals
• MS-Ready data facilitates structure identification
• Related metadata facilitates candidate ranking
59
• Relationship mappings and
chemical lists of great utility
• Curation and mutual
sharing of chemical lists is
important (e.g. NORMAN)
61. Acknowledgements
• An enormous team of contributors
from NCCT, especially the IT
software development team
• Our curation team for their care
and focus on data quality
• Many public domain databases
and open data contributors
• Emma Schymanski, University of
Luxembourg for coordinating
curation of NORMAN lists
• Jerry Zweigenbaum and Andrew
McEachran, Agilent Inc., for
example spectra to test CFM-ID
matching
62. Contact
Antony Williams
NCCT, US EPA Office of Research and Development,
Williams.Antony@epa.gov
ORCID: https://orcid.org/0000-0002-2668-4821
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https://doi.org/10.1186/s13321-017-0247-6