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Applications of the US EPA’s CompTox
Dashboard to support structure
identification and chemical forensics
using mass spectrometry
Antony Williams1, Andrew D. McEachran2,
Jon R. Sobus3 and Emma Schymanski4
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) National Exposure Research Laboratory, U.S. Environmental Protection Agency, RTP, NC
4) Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, Luxembourg
August 2018
ACS Fall Meeting, Boston
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
• National Center for Computational Toxicology
established in 2005 to integrate:
– High-throughput and high-content technologies
– Modern molecular biology
– Data mining and statistical modeling
– Computational biology and chemistry
• Researching computational approaches to
quickly evaluate the safety of chemicals for
potential risk.
• Outputs: a lot of data, models, algorithms and
software applications
National Center for
Computational Toxicology
The CompTox Chemistry Dashboard
• A publicly accessible website delivering access:
– New entry portal for all NCCT dashboards
– ~762,000 chemicals with related property data
– Searchable by chemical, product use, gene and assay
(ToxCast)
– Experimental and predicted physicochemical property data
– “Bioactivity data” for the ToxCast/Tox21 project
– Generalized Read-Across (GenRA) module
– Links to other agency websites and public data resources
– “Literature” searches for chemicals using public resources
– “Batch searching” for thousands of chemicals
– DOWNLOADABLE Open Data for reuse and repurposing
2
CompTox Dashboard
https://comptox.epa.gov/dashboard
3
CompTox Dashboard
Chemicals
4
Detailed Chemical Pages
5
Access to Chemical Hazard Data
6
In Vitro Bioassay Screening
ToxCast and Tox21
7
Sources of Exposure to Chemicals
8
External Links to ~80 websites
9
MS-Ready Mappings
10
MS-Ready Mappings Set
11
Mass and Formula Searches
Supporting Mass Spectrometry
12
Advanced Searches
Mass Based Search
13
Advanced Searches
Mass Based Search
14
Batch Searching
• Singleton searches are useful but we work
with thousands of chemicals!
• 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?
15
Batch Searching
16
Batch Searching
17
Excel Output
18
Suspect Screening and Non-Targeted
Analysis Workflow
19
DSSTox Chemical Database
“Molecular Features”
Extracted Samples
Raw Samples
Raw Features
Matched Formulas
Mapped Structures
Prioritized Structures
(using ToxPi)
Confirmed Structures
(using ToxCast standards)
Processed Features
Prioritized Features
Predicted Formulas
Candidate Structures
Sorted Structures
Predicted Retention Times
Predicted/Observed Functional Use
Top Candidate Structure(s)
Suspect Screening Non-Targeted Analysis
Predicted Concentrations
Predicted/Observed Media Occurrence
Predicted Mass Spectra
Methodological Concordance
Red = Analytical Chemistry
Blue = Data Processing & Analysis
Green = Informatics & Web Services
Purple = Mathematical & QSPR Modeling
Color Key
Content from J. Sobus, US-EPA-NERL
The Dashboard to Support
MS-Analysis
20
MS-Ready
Structures
Underpin
Analysis
Specific Data-Mappings
“MS-Ready Structures”
21
MS-Ready Mappings
• Input Formula: C10H16N2O8
22
MS-Ready Mappings
• Same Input Formula: C10H16N2O8
• MS Ready Formula Search: 93 Chemicals
23
MS-Ready Mappings
• 93 chemicals returned in total
– Only 7 of the 93 are single component chemicals
– Only 4 of the 93 are non-isotope-labeled
– 3 are neutral compounds and 1 is charged
24
Complexity to Simplicity
93 Chemicals – 7 in EPAHFR
25
Complexity to Simplicity
93 Chemicals – 7 in the list
26
Searching batches
Formula (or mass) searching
27
Downloadable Data
28
Work in Progress
• CFM-ID
– Viewing and Downloading pre-predicted spectra
– Search spectra against the database
• Retention Time Index Prediction
• Structure/substructure/similarity search
• Generation of MS-ready structures:
– Upload file, download results
– Service based generation
29
Predicted Mass Spectra
http://cfmid.wishartlab.com/
• MS/MS spectra prediction for ESI+, ESI-, and EI
• Predictions generated and stored for >700,000
structures, to be accessible via Dashboard
30
Library Fragmentation
Spectra (20eV)
Observed Fragmentation
Spectra (20eV)
Match
Score
Predicted Mass Spectra
Search Expt. vs. Predicted Spectra
Prototype Development
33
Prototype Development
34
Conclusion
• The CompTox Chemistry Dashboard provides access
to data for ~760,000 chemicals
• Multiple prediction models available for data gap
filling
– OPERA models and TEST models – PhysChem and Tox endpoints
– Models based on in vitro data – classification models
– Generalized Read-Across development in progress
• Real time prediction models rollout has started
• Web services available for some physchem and
toxicity endpoints
• 2 years development as a CompTox Integration Hub
35
Contact
Antony Williams
US EPA Office of Research and Development
National Center for Computational Toxicology (NCCT)
Williams.Antony@epa.gov
ORCID: https://orcid.org/0000-0002-2668-4821
36

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Applications of the US EPA’s CompTox Chemistry Dashboard to support structure identification and chemical forensics using mass spectrometry

  • 1. Applications of the US EPA’s CompTox Dashboard to support structure identification and chemical forensics using mass spectrometry Antony Williams1, Andrew D. McEachran2, Jon R. Sobus3 and Emma Schymanski4 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) National Exposure Research Laboratory, U.S. Environmental Protection Agency, RTP, NC 4) Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, Luxembourg August 2018 ACS Fall Meeting, Boston 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
  • 2. • National Center for Computational Toxicology established in 2005 to integrate: – High-throughput and high-content technologies – Modern molecular biology – Data mining and statistical modeling – Computational biology and chemistry • Researching computational approaches to quickly evaluate the safety of chemicals for potential risk. • Outputs: a lot of data, models, algorithms and software applications National Center for Computational Toxicology
  • 3. The CompTox Chemistry Dashboard • A publicly accessible website delivering access: – New entry portal for all NCCT dashboards – ~762,000 chemicals with related property data – Searchable by chemical, product use, gene and assay (ToxCast) – Experimental and predicted physicochemical property data – “Bioactivity data” for the ToxCast/Tox21 project – Generalized Read-Across (GenRA) module – Links to other agency websites and public data resources – “Literature” searches for chemicals using public resources – “Batch searching” for thousands of chemicals – DOWNLOADABLE Open Data for reuse and repurposing 2
  • 7. Access to Chemical Hazard Data 6
  • 8. In Vitro Bioassay Screening ToxCast and Tox21 7
  • 9. Sources of Exposure to Chemicals 8
  • 10. External Links to ~80 websites 9
  • 13. Mass and Formula Searches Supporting Mass Spectrometry 12
  • 16. Batch Searching • Singleton searches are useful but we work with thousands of chemicals! • 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? 15
  • 20. Suspect Screening and Non-Targeted Analysis Workflow 19 DSSTox Chemical Database “Molecular Features” Extracted Samples Raw Samples Raw Features Matched Formulas Mapped Structures Prioritized Structures (using ToxPi) Confirmed Structures (using ToxCast standards) Processed Features Prioritized Features Predicted Formulas Candidate Structures Sorted Structures Predicted Retention Times Predicted/Observed Functional Use Top Candidate Structure(s) Suspect Screening Non-Targeted Analysis Predicted Concentrations Predicted/Observed Media Occurrence Predicted Mass Spectra Methodological Concordance Red = Analytical Chemistry Blue = Data Processing & Analysis Green = Informatics & Web Services Purple = Mathematical & QSPR Modeling Color Key Content from J. Sobus, US-EPA-NERL
  • 21. The Dashboard to Support MS-Analysis 20 MS-Ready Structures Underpin Analysis
  • 23. MS-Ready Mappings • Input Formula: C10H16N2O8 22
  • 24. MS-Ready Mappings • Same Input Formula: C10H16N2O8 • MS Ready Formula Search: 93 Chemicals 23
  • 25. MS-Ready Mappings • 93 chemicals returned in total – Only 7 of the 93 are single component chemicals – Only 4 of the 93 are non-isotope-labeled – 3 are neutral compounds and 1 is charged 24
  • 26. Complexity to Simplicity 93 Chemicals – 7 in EPAHFR 25
  • 27. Complexity to Simplicity 93 Chemicals – 7 in the list 26
  • 28. Searching batches Formula (or mass) searching 27
  • 30. Work in Progress • CFM-ID – Viewing and Downloading pre-predicted spectra – Search spectra against the database • Retention Time Index Prediction • Structure/substructure/similarity search • Generation of MS-ready structures: – Upload file, download results – Service based generation 29
  • 31. Predicted Mass Spectra http://cfmid.wishartlab.com/ • MS/MS spectra prediction for ESI+, ESI-, and EI • Predictions generated and stored for >700,000 structures, to be accessible via Dashboard 30
  • 32. Library Fragmentation Spectra (20eV) Observed Fragmentation Spectra (20eV) Match Score Predicted Mass Spectra
  • 33. Search Expt. vs. Predicted Spectra
  • 36. Conclusion • The CompTox Chemistry Dashboard provides access to data for ~760,000 chemicals • Multiple prediction models available for data gap filling – OPERA models and TEST models – PhysChem and Tox endpoints – Models based on in vitro data – classification models – Generalized Read-Across development in progress • Real time prediction models rollout has started • Web services available for some physchem and toxicity endpoints • 2 years development as a CompTox Integration Hub 35
  • 37. Contact Antony Williams US EPA Office of Research and Development National Center for Computational Toxicology (NCCT) Williams.Antony@epa.gov ORCID: https://orcid.org/0000-0002-2668-4821 36

Editor's Notes

  1. Tri cresyl phosphate
  2. Clarify it’s a mockup in progress