Who is NCCT? National Center for Computational Toxicology – part of EPA’s Office of Research and Development Research driven by EPA’s Chemical Safety for.

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Presentation transcript:

http://orcid.org/0000-0003-1423-330X The EPA iCSS Chemistry Dashboard to Support Compound Identification Using High Resolution Mass Spectrometry Data Antony J. Williams†, Andrew McEachran, Jon Sobus, Chris Grulke, Jennifer Smith, Michelle Krzyzanowski, Jordan Foster and Jeff Edwards National Center for Computational Toxicology U.S. Environmental Protection Agency, RTP, NC 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 August 21-25, 2016 ACS Fall Meeting, Philadelphia, PA

Who is NCCT? National Center for Computational Toxicology – part of EPA’s Office of Research and Development Research driven by EPA’s Chemical Safety for Sustainability Research Program Develop new approaches to evaluate the safety of chemicals Integrate advances in biology, biotechnology, chemistry, exposure science and computer science Goal - To identify chemical exposures that may disrupt biological processes and cause adverse outcomes.

Our Dashboard Applications Some of our Web-based Applications

Introducing Our Latest Dashboard https://comptox.epa.gov >720,000 chemicals >10 years assembling data

Bisphenol A

Physicochemical Properties

Bioassay Screening Data

Functional Use and Composition

Advanced MS Searches

Monoisotopic Mass Search

Monoisotopic Mass Search Found 344 results for '215.096 ± 0.005 amu'

Formula Search

Formula Search Found 8 results for 'C8H14ClN5'

Formula Searching Formulae matching Bisphenol A

Formula Search Results

Download to Excel

Download as SDF file

SDF file downloaded to desktop

Rank-Ordering of “Known-Unknowns” using ChemSpider

Comparing Performance 721k structures

Does the Dashboard Add Value? Remember: Focus on high quality data and curation Data sources include EPA data sources and a focus on environmental chemistry No “dilution” by chemical vendors

Dilution Example… Morphine Skeleton

Bisphenol A as an example ChemSpider: 1564 Structures

Bisphenol A as an example Dashboard: 215 Structures

Chemical Identification Dashboard vs ChemSpider Monoisotopic Mass (+/- 0.005 amu) Search Sorted by number of references (ChemSpider) or data sources (Dashboard) Position of compound sorted Source of List # of Compounds Search Tool Mean Position Median Position #1 #2 #3 #4 #5+ McEachran et al Wastewater 34 ChemSpider 1.8 1 28 5 Dashboard 1.3 31 2 Misc. NTA Compounds 13 7 1.7 10 Bade et al (2016) 19 2.1 11 1.6 12 3 Rager et al (2016) 24 2.25 15 4   1.08 22 For example- Rager was actually 33 confirmed; Bade was 25

Dashboard vs ChemSpider Ranking Summary Selected peer-reviewed publications 162 total individual chemicals in search Mass-based Searching Formula Based Searching Dashboard ChemSpider Cumulative Average Position 1.3 2.2 1.2 1.4 % in #1 Position 85% 70% 88% 80%

ChemSpider 6926 Results!!! Tacedinaline Methyl Red C.I Disperse Yellow 3

Using Functional Use to Sort Candidates Anti-cancer Drug Microbiological Indicator Dye Textile/Product Dye

Same top hits – different ranking 90 hits only versus 6926 hits C.I Disperse Yellow 3 18 Methyl Red 17 4 Tacedinaline

Dashboard: External Links to Analytical Methods

National Environmental Methods Index

RSC Analytical Abstracts

Integrated Google Chemical Searches

Google Chemical Searches Enhanced with Query Terms

Non-Targeted Analysis Research What is contained in house dust, waste streams etc??? 1 Dust Sample Negative Ionization Mode 300 Extracted “Molecular Features” Prioritize “Molecular Features” Correctly assign formulas Correctly assign structures Determine chemical sources Predict chemical concentrations (1) (2) (3) (4) (5) C17H19NO3 12 µg/g

Previous Work with Suspect-Screening The dashboard is being enhanced to support Non-targeted Analysis

Future Work Presently researching rank-ordering based on other criteria – Pubmed Additional links to methods – CDC NIOSH Links to Mass Spec databases – Thermo’s mzCloud, Massbank. Metlin etc. Consider predicting metabolites and degradants Searching based on “MS-ready” structures

“MS Ready” structures Many compounds are salts – searches should be on the “neutral form” Need to search for adducts (+Na, +K, +NH4), decarboxylation, loss of water etc.

Conclusions Dashboard support for MS is focused on NTA research – related to chemical exposure Dashboard outperforms ChemSpider for ranking chemicals of environmental concern New searches developed with Non-targeted Analysis in mind - new rank-ordering approaches in development

Acknowledgements EPA NCCT Chris Grulke Jeff Edwards Ann Richard Jordan Foster Jennifer Smith Andrew McEachran* Michelle Krzyzanowski EPA NERL Jon Sobus * = ORISE Participant