RSS

COVID-19 Karaoke Part 2 by “Tony’s Midnight Humours”

Another long week at an end and my work days are longer than ever. Up as the sun rises and down very late at night and spending a minimum of 14 hours a day working. The inefficiencies and challenges associated with this working from home gig are getting to a lot of us. However, I’m sticking to one dedication a week, for now, of Karaoke for COVID-19 and it’s effect on me and my household. It’s kinda fun just to reach out in this way

   

 
Leave a comment

Posted by on March 27, 2020 in Uncategorized

 

Tags: ,

Screw You COVID-19 – My Karaoke Dedication

So the world is changing. At a dramatic pace. And, depending on who you talk to it is everything from terrifying to no big deal. Of course we are not going to rollover but fight. Some will need to fight harder than others. Some will lose.

My small burden at present is self-isolating so I penned a little dedication to COVID-19 and Karaoke’ed the heck out of it last night, just because.

 
Leave a comment

Posted by on March 22, 2020 in Uncategorized

 

QSAR 2020: From QSAR to New Approach Methodologies (NAMs)

QSAR 2020: From QSAR to New Approach Methodologies (NAMs)

June 8-11, 2020

Durham, NC, USA

www.qsar2020.org

The 19th International Workshop on (Quantitative) Structure-Activity Relationships in Environmental and Health Sciences (QSAR2020) will take place on June 8-11, 2020 at the Durham Convention Centre, Durham, NC, U.S.

QSAR2020 aims to broaden its scope from QSARs underpinned by traditional (eco)toxicity data to New Approach Methodologies (NAM). NAM is a broadly descriptive term for any non-animal technology, methodology or approach or combination thereof that can be used to provide information on chemical hazard and risk assessment. To that end, we are collaborating with International Council of Chemical Associations’ Long-Range Research Initiative (ICCA-LRI) and American Society of Cellular Computational and Toxicology (ASCCT) to widen outreach to interested stakeholders.

This workshop aims to bring together scientists from around the world along with developers and users of predictive models and their underlying data, to foster discussion and debate around the practical implementation of these approaches. QSAR2020 will focus on answering questions such as:

  • How should we view and account for the assumptions of the traditional toxicity data in risk/safety assessment?
  • How should we be applying and interpreting NAM data?
  • How should we be benchmarking the performance and characterising both confidence and uncertainty of new predictive models?
  • How can the level of curation of data used to build predictive models be made explicit?
  • What are the short and long-term research and development needs?

The Workshop will include:

  • Confirmed Keynote speakers: Dr. Rusty Thomas, US Environmental Protection Agency and Professor Mark Cronin, Liverpool John Moores University, UK
  • Three Travel awards for students/postdocs available courtesy of ICCA-LRI
  • An optional ½ day hands training session on specific computational tools will take place on the 11th June. 
  • Poster presentation and exhibiting opportunities
  • Opportunities for networking and social activities

Further information can be found at www.qsar2020.org

CALL FOR ABSTRACTS

Submission deadline: 15th December 2019

The Programme Committee invites submission of abstracts of original work. Abstracts can be submitted for consideration of an oral/poster presentation in one or more of the following themes:

  • Application of New Approach Methodologies (NAM) including QSARs for regulatory purposes (risk-based prioritization, risk assessment)
  • Thresholds for Toxicological Concern
  • Cheminformatic approaches to employ ‘big data’ including data curation
  • Development, Evaluation and Application of QSARs to fill data gaps including complex toxicological endpoints such as reproductive toxicity
  • Progress and barriers in the 3 Rs e.g. Replacement of 6 pack acute tests
  • Case studies of how QSARs have been used for ICH-M7
  • Adverse Outcome Pathways, Integrated Testing and Assessment Approaches (IATA) and Defined Approaches
  • Complex substances (UVCBs, PFAS) and emerging issues
  • Quantifying uncertainty in model development and the underlying data
  • Biological activity profiling using high throughput screening data and high content data (e.g. high throughput transcriptomics, high throughput phenotypic profiling)
  • Read-across approaches -transitioning from expert driven assessments to algorithmic approaches for regulatory purposes
  • Green Chemistry
  • Non-targeted and suspect screening approaches to characterise exposure

Submit abstracts online at www.qsar2020.org paying special attention to the instructions provided. Presenters can indicate preference for an oral or poster presentation and up to two theme categories.

Presenters will have the opportunity to contribute a manuscript to a special issue of Computational Toxicology. Instructions will be sent to presenters in 2020.

Important Dates

Deadline for abstract submission: 15th December 2019

Notification of abstract acceptance: February 2020

Early bird registration deadline: 1st April 2020

Deadline for manuscript submission: 20th June 2020

For general enquiries regarding QSAR2020, please contact QSAR2020@icf.com

For sponsorship enquiries regarding QSAR2020, please contact ginah@piscltd.org.uk with the subject heading QSAR2020

Hosts: Grace Patlewicz, US EPA, Kristie Sullivan, ASCCT, Richard A. Becker, ICCA-LRI

 
Leave a comment

Posted by on September 8, 2019 in Uncategorized

 

Chemical identification of unknowns in high resolution mass spectrometry using the EPA’s CompTox Chemicals Dashboard

I was privileged to give a presentation today at Pittcon 2019 and presented on “Chemical identification of unknowns in high resolution mass spectrometry using the EPA’s CompTox Chemicals Dashboard” with the abstract below.

Non-targeted and suspect screening studies using high resolution mass spectrometry (HRMS) have revolutionized the detection of chemicals in complex matrices.  However, data processing remains challenging due to the vast number of chemicals detected in samples, software and computational requirements of data processing, and inherent uncertainty in confidently identifying chemicals from candidate lists.  The US EPA has developed functionality within the CompTox Chemicals Dashboard (https://comptox.epa.gov) to address challenges related to data processing and analysis in HRMS.  These tools include the generation of “MS-Ready” structures to optimize database searching, retention time prediction for candidate reduction, consensus ranking using chemical metadata, and in silico MS/MS fragmentation prediction for spectral matching.  Combining these tools into a comprehensive workflow improves certainty in candidate identification.  This presentation will introduce the tools and combined workflow, including visualization and access via the CompTox Chemicals Dashboard.  These tools, data, and visualization approaches within an open chemistry resource provides a publicly available software tool to support structure identification and non-targeted analyses. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

The slide deck is available on SlideShare here:

Chemical identification of unknowns in high resolution mass spectrometry using the CompTox Chemicals Dashboard from US Environmental Protection Agency (EPA), National Center for Computational Toxicology

 

Converting Dates to CAS Registry Numbers in Excel

I am not sure how many of you encounter the situation of opening a file sent to you in CSV or TSV format into Excel and then seeing that the CASRN column contains some dates instead.

As an example see the set of records below in a file I am processing regarding endogenous metabolites

A portion of an Excel spreadsheet with CAS Numbers as dates


It is incredibly annoying, especially if you don’t check a large file for the presence of date format CASRNs, so I always check now simply by sorting. But what to do to fix it? There may be other ways but I have a simple solution that works and allows me to check and keep the file intact.

If you have a column of CAS Numbers then insert a new column adjacent to the CASRNs. Then insert a simple entry to convert the date to text format as follows: =TEXT(C2,”yyyy-mm-d”). It is obvious in the screenshot below.

Conversion formula: Date to CASRN format

in this example C2 is the cell containing the first CASRN. Then simply drag the corner of the first repaired cell to populate the column with repaired CASRNs.

Drag the corner of the cell to populate other CASRN repaired values

In general I then do a gap analysis of what we are missing in the CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) by copying the list of CASRNs into the batch search page at https://comptox.epa.gov/dashboard/dsstoxdb/batch_search and running a search with the CASRN identifier selected.

Batch Search download page – select CASRN as the input identifier, download in the format of choice – I recommend Excel instead of CSV considering this blog post!

By downloading the Excel spreadsheet, and taking advantage of our batch search checking the CAS Checksum the output can be very informative.

Searching the dashboard batch search for a list of CAS Numbers. 4429-04-3 is a valid CASRN but not in the database while three CASRN’s fail the Checksum.

It’s a simple solution…but hopefully useful.

 
Leave a comment

Posted by on March 16, 2019 in CompTox dashboard, Data Quality

 

Presentations at the Spring ACS Meeting in Orlando, April 2019

I am giving a number of presentations at the ACS meeting in Orlando in April 2019. If you are interested in coming to listen and maybe chat after please see the list below.

1) PAPER ID: 3080890 
PAPER TITLE: Consensus ranking and fragmentation prediction for identification of unknowns in high resolution mass spectrometry (final paper number: AGFD 10)


DIVISION: Division of Agricultural and Food Chemistry
SESSION: Recent Advances in Food Fraud & Authenticity Analysis
SESSION TIME: 8:30 AM – 10:55 AM

PRESENTATION FORMAT: Oral
DAY & TIME OF PRESENTATION: Sunday, March, 31, 2019 from 9:25 AM – 9:50 AM
ROOM & LOCATION: Florida Ballroom B  – Hyatt Regency Orlando 

Title: Consensus ranking and fragmentation prediction for identification of unknowns in high resolution mass spectrometry

Antony J. Williams1, Andrew McEachran2, Tommy Cathey3, Tom Transue3, Jon Sobus4

High resolution mass spectrometry (HRMS) and non-targeted analysis (NTA) are advancing the identification of emerging contaminants in environmental and agricultural matrices.  However, confidence in structure identification of unknowns in NTA presents challenges to analytical chemists.  Structure identification requires integration of complementary data types such as reference databases, fragmentation prediction tools, and retention time prediction models.  The goal of this research is to optimize and implement structure identification functionality within the US EPA’s CompTox Chemicals Dashboard, an open chemistry resource and web application containing data for ~760,000 substances.  Rank-ordering the number of sources associated with chemical records within the Dashboard (Data Source Ranking) improves the identification of unknowns by bringing the most likely candidate structures to the top of a search results list.  Incorporating additional data streams contained within the database underlying the Dashboard further enhances identifications.  Integrating tandem mass spectrometry data into NTA workflows enables spectral match scores and increases confidence in structural assignments.  We have generated and stored predicted MS/MS fragmentation spectra for the entirety of the Chemistry Dashboard using the in silico prediction tool CFM-ID.  Predicted fragments incorporated into the identification workflow were used as both a scoring term and as a candidate threshold cutoff.  Combining these steps within an open chemistry resource provides a freely available software tool for structure identification and NTA. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

2) PAPER ID: 3081133 
PAPER TITLE: Applications of the US EPA’s CompTox chemicals dashboard to support structure identification and chemical forensics using mass spectrometry (final paper number: ANYL 320)


DIVISION: Division of Analytical Chemistry
SESSION: Frontiers in Forensic Mass Spectrometry
SESSION TIME: 8:00 AM – 12:10 PM

PRESENTATION FORMAT: Oral
DAY & TIME OF PRESENTATION: Tuesday, April, 02, 2019 from 11:40 AM – 12:10 PM
ROOM & LOCATION: Plaza International Ballroom K  – Hyatt Regency Orlando

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

Antony J. Williams, Andrew D. McEachran, Jon R. Sobus and Emma Schymanski

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 ~760,000 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. This presentation will provide an overview of the CompTox Chemicals Dashboard and demonstrate its utility for supporting structure identification and NTA in chemical forensics. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

3) PAPER ID: 3084559 
PAPER TITLE: Antony Williams, the ChemConnector: A career path through a diverse series of roles and responsibilities (final paper number: CINF 25)

DIVISION: Division of Chemical Information
SESSION: Careers in Chemical Information
SESSION TIME: 1:30 PM – 4:25 PM

PRESENTATION FORMAT: Oral
DAY & TIME OF PRESENTATION: Sunday, March, 31, 2019 from 3:05 PM – 3:25 PM
ROOM & LOCATION: West Hall B4 – Theater 11  – Orange County Convention Center

Antony Williams, the ChemConnector – a career path through a diverse series of roles and responsibilities

Authors: Antony Williams

Antony Williams is a Computational Chemist at the US Environmental Protection Agency in the National Center for Computational Toxicology. He has been involved in cheminformatics and the dissemination of chemical information for over twenty-five years. He has worked for a Fortune 500 company (Eastman Kodak), in two successful start-ups (ACD/Labs and ChemSpider), for the Royal Society of Chemistry (in publishing) and, now, at the EPA. Throughout his career path he has experienced multiple diverse work cultures and focused his efforts on understanding the needs of his employers and the often unrecognized needs of a larger community. Antony will provide a short overview of his career path and discuss the various decisions that helped motivate his change in career from professional spectroscopist to website host and innovator, to working for one of the world’s foremost scientific societies and now for one of the most impactful government organizations in the world. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

4) PAPER ID: 3084590 
PAPER TITLE: US-EPA CompTox chemicals dashboard: A web-based data integration hub for environmental chemistry data (final paper number: CINF 43)


DIVISION: Division of Chemical Information
SESSION: Web-Based Chemoinformatics Platforms
SESSION TIME: 8:00 AM – 11:50 AM

PRESENTATION FORMAT: Oral
DAY & TIME OF PRESENTATION: Monday, April, 01, 2019 from 11:20 AM – 11:50 AM
ROOM & LOCATION: West Hall B4 – Theater 10  – Orange County Convention Center

The EPA Comptox Chemicals Dashboard as a Data Integration Hub for Environmental Chemistry Data

Authors: Antony Williams, Andrew McEachran, Imran Shah, Richard Judson, John Wambaugh, Nancy Baker, George Helman, Chris Grulke, Kamel Mansouri, Grace Patlewicz, Ann Richard and Jeff Edwards.

The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This involves computational and data-driven approaches that integrate chemistry, exposure and biological data. The National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences, including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. The CompTox Chemicals Dashboard is a web-based application providing access to data associated with ~760,000 chemical substances. New data are continuously added to the database on an ongoing basis, along with registration of new and emerging chemicals. This includes data extracted from the literature, identified by our analytical labs, and otherwise of interest to support specific research projects to the agency. By adding these data, with their associated chemical identifiers (names and CAS Registry Numbers), the dashboard uses linking approaches to allow for automated searching of PubMed, Google Scholar and an array of public databases. This presentation will provide an overview of the CompTox Chemicals Dashboard, how it has developed into an integrated data hub for environmental data, and how it can be used for the analysis of emerging chemicals in terms of sourcing related chemicals of interest, and deriving read-across as well as QSAR predictions in real time. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

5) PAPER ID: 3084575 
PAPER TITLE: EPA CompTox chemicals dashboard: An online resource for environmental chemists (final paper number: CINF 94)


DIVISION: Division of Chemical Information
SESSION: Applications of Cheminformatics to Environmental Science
SESSION TIME: 8:00 AM – 12:00 PM

PRESENTATION FORMAT: Oral
DAY & TIME OF PRESENTATION: Wednesday, April, 03, 2019 from 8:25 AM – 8:45 AM

ROOM & LOCATION: West Hall B4 – Theater 10  – Orange County Convention Center 

EPA CompTox Chemicals Dashboard – an online resource for environmental chemists

Authors: Antony Williams, Chris Grulke, Jennifer Smith, Kamel Mansouri, Andrew McEachran, Kathie Dionisio, Katherine Phillips, Grace Patlewicz, Jeremy Fitzpatrick, Nancy Baker, Todd Martin, Ann Richard and Jeff Edwards

The U.S. Environmental Protection Agency (EPA) Computational Toxicology Program integrates advances in biology, chemistry, and computer science to help prioritize chemicals for further research based on potential human health risks. This work involves computational and data driven approaches that integrate chemistry, exposure and biological data. As an outcome of these efforts the National Center for Computational Toxicology (NCCT) has measured, assembled and delivered an enormous quantity and diversity of data for the environmental sciences including high-throughput in vitro screening data, in vivo and functional use data, exposure models and chemical databases with associated properties. A series of software applications and databases have been produced over the past decade to deliver these data. Recent work has focused on the development of a new architecture that assembles the resources into a single platform. With a focus on delivering access to Open Data streams, web service integration accessibility and a user-friendly web application the CompTox Chemicals Dashboard provides access to data associated with ~720,000 chemical substances. These data include research data in the form of bioassay screening data associated with the ToxCast program, experimental and predicted physicochemical properties, product and functional use information and related data of value to environmental scientists. This presentation will provide an overview of the CompTox Chemicals Dashboard and its value to the community as an informational hub. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

6) PAPER ID: 3095464 
PAPER TITLE: Cheminformatics approaches to support chemical identification delivered via the EPA CompTox Chemicals Dashboard (final paper number: ENVR 173)


DIVISION: Division of Environmental Chemistry
SESSION: Accurate Mass/High Resolution Mass Spectrometry for Environmental Monitoring & Remediation
SESSION TIME: 1:00 PM – 4:10 PM

PRESENTATION FORMAT: Oral
DAY & TIME OF PRESENTATION: Monday, April, 01, 2019 from 1:25 PM – 1:45 PM
ROOM & LOCATION: Valencia Ballroom B-D – Theater 8  – Orange County Convention Center

Cheminformatics approaches to support chemical identification delivered via the EPA CompTox Chemicals Dashboard

Antony J. Williams, Andrew McEachran, Chris M. Grulke, Elin M. Ulrich and Jon R. Sobus

The identification of chemicals in environment media depends on the application of analytical methods, the primary approach being one of the multiple mass spectrometry techniques. Cheminformatics solutions are critical to supporting the chemical identification process. This includes the assembly of large chemical substance databases, prioritization ranking of potential candidate search hits, and search approaches that support both targeted and non-targeted screening approaches. The US Environmental Protection Agency CompTox Chemicals Dashboard is a web-based application providing access to data for over 760,000 chemical substances. This includes access to physicochemical property, environmental fate and transport data, both human and ecological toxicity data, information regarding chemicals contained in products in commerce, and in vitro bioactivity data. Searches are allowed based on chemical identifiers, product and use, genes and assays associated with the EPA ToxCast assays and, specific to supporting mass spectrometry, searches based on masses and formulae. These searches make use of a novel “MS-Ready structures” approach collapsing chemicals related as mixtures, salts, stereoforms and isotopomers. The dashboard supports both singleton or batch searching by accurate mass/chemical formula, supported by MS-ready structures, and utilizes rich meta data to facilitate candidate ranking and the prioritization of chemicals of concern based on toxicity and exposure data. The dashboard also hosts tens of chemical lists that have been assembled from public databases, many supporting non-targeted analysis and mass spectrometry databases.

This presentation will provide an overview of the dashboard and will review our latest research into structure identification by searching experimental mass spectrometry data against predicted fragmentation spectra for LC-MS (positive and negative ion mode) and GC-MS (EI), a total of 3 million predicted spectra. We will also provide an overview of our progress supporting structure and substructure searching, using mass and formula-based filtering, and report on the latest applications of the dashboard to support structure identification projects of interest to the EPA. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

7) PAPER ID: 3084594 
PAPER TITLE: US-EPA comptox chemicals dashboard: an information hub for over five thousand per- & polyfluoroalkyl chemical substances (final paper number: ENVR 217)


DIVISION: Division of Environmental Chemistry
SESSION: Per- & Polyfluoroalkyl Substances in the Environment: From Legacy To Emerging Contaminants
SESSION TIME: 8:30 AM – 12:00 PM

PRESENTATION FORMAT: Oral
DAY & TIME OF PRESENTATION: Tuesday, April, 02, 2019 from 10:10 AM – 10:30 AM
ROOM & LOCATION: Valencia Ballroom B-D – Theater 10  – Orange County Convention Center

Title: The US-EPA CompTox Chemicals Dashboard – an information hub for over five thousand per- & polyfluoroalkyl chemical substances

Authors: Antony Williams, Chris Grulke, Grace Patlewicz and Ann Richard

The EPA’s CompTox Chemicals Dashboard (https://comptox.epa.gov/dashboard) is a publicly accessible website providing access to data for ~770,000 chemical substances, the majority of these represented as chemical structures. The web application delivers a wide array of computed and measured physicochemical properties, in vitro high-throughput screening data and in vivo toxicity data, product use information extracted from safety data sheets, and integrated chemical linkages to a growing list of literature, toxicology, and analytical chemistry websites. The application provides access to segregated lists of chemicals that are of specific interest to relevant stakeholders, including Per- & Polyfluoroalkyl Substances (PFAS) containing thousands of chemicals. A procured testing library of hundreds of PFAS chemicals annotated into chemical categories has been integrated into the dashboard with a number of resulting benefits: a searchable database of chemical properties, with hazard and exposure predictions, and links to the open literature. Several specific search types have been developed to directly support the mass spectrometry non-targeted screening community, enabling cohesive workflows to support data generation for the detection and assessment of environmental exposures to chemicals contained within DSSTox. This presentation will provide an overview of the dashboard, the ongoing expansion of the PFAS chemical library, with associated categorization, and new physicochemical property and environmental fate and transport QSAR prediction models developed for these chemicals. The application of the dashboard to support mass spectrometry non-targeted analysis studies for the identification of PFAS chemicals will also be reviewed. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

8) PAPER ID: 3084611 
PAPER TITLE: CompTox chemicals dashboard: Data and tools to support chemical and environmental risk assessment and the ENTACT project (final paper number: ENVR 648)


DIVISION: Division of Environmental Chemistry
SESSION: True Positives in EPA’S Non-Targeted Analysis Collaborative Trial (ENTACT)
SESSION TIME: 1:30 PM – 5:00 PM

PRESENTATION FORMAT: Oral
DAY & TIME OF PRESENTATION: Wednesday, April, 03, 2019 from 2:15 PM – 2:35 PM
ROOM & LOCATION: Valencia Ballroom B-D – Theater 13  – Orange County Convention Center

Title: The CompTox Chemicals Dashboard: Data and Tools to Support Chemical and Environmental Risk Assessment and the ENTACT project

Authors and affiliations: Antony J. Williams1, Christopher M. Grulke1, Andrew D. McEachran2, Emma L. Schymanski3,4, Jon Sobus5, Elin Ulrich5, Ann M. Richard1, Jeremy Dunne1 and Jeff Edwards1

1 EPA, National Center for Computational Toxicology, RTP, NC, USA

2 ORISE Fellow, Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA

3 Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, 6, avenue du Swing, L-4367 Belvaux, Luxembourg

4 EPA, National Exposure Research Laboratory, RTP, NC, USA

Information and data on chemicals is used by scientists to evaluate potential health and ecological risks due to environmental exposures. EPA’s CompTox Chemicals Dashboard (https://comptox.epa.gov) helps evaluate the safety of chemicals by providing public access to a variety of information on over 760,000 chemicals. Within the Dashboard, users can access chemical structures, chemistry information, toxicity data, hazard data, exposure information, and additional links to relevant websites and applications. These data are compiled from sources including EPA’s computational toxicology research databases, from public domain databases and with collaborators across the world. Chemical lists have been added that provide access to various classes of chemicals and project-based datasets are under constant development. Specific functionality has been delivered within the Dashboard to support mass spectrometry including “MS-ready forms” of chemical substances that would be detectable by mass spectrometry. Workflows have been developed to assist in candidate identification and have now been proven with multiple published studies. An integration path between the dashboard and MetFrag has also been established to provide users the significant benefits resulting from the marriage between the two applications. The datasets underpinning the dashboard are freely available (https://comptox.epa.gov/dashboard/downloads) for integration into third party databases. This presentation will provide an overview of the available data types and functionality of the dashboard prior to examining how it is developing to support mass spectrometry based analyses within the agency and for the community in general. This will include a review of our research efforts to enhance the dashboard using in silico MS/MS fragmentation prediction for spectral matching. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

 

Presentation at SETAC Rome Non-Target Screening for Chemical Discovery

I have the pleasure of collaborating with Emma Schymanski and we are literally in daily contact bouncing ideas regarding how to improve the state-of-the-science and informatics for Mass Spectrometry Non-Target Screening. We are both actively out at conferences representing the effort and are iteratively moving things forward (with so many other colleagues we get to work with) so that each presentation reports on the latest developments. Emma presented in Rome this week at the SETAC Europe 28th Annual Meeting and had the chance to show the work that has been going on to integrate the CompTox Chemistry Dashboard and MetFrag. More on that will be reported in detail soon but for now her slides from the meeting are available on SlideShare and embedded here.

 

Presentation at Analytica-Munich by Emma Schymanski “Finding small molecules in big data”

 

My friend and often collaborator gave a talk at Analytica Munich this week (wish I was there) and it was in regards to “Finding small molecules in big data”. I am fortunate to collaborate with Emma on many of the aspects of using cheminformatics approaches to interrogate, interpret and integrate data associated with mass spectrometry analyses and structure identification. It’s been an interesting year working on the challenges together.

ABSTRACT

Metabolomics and exposomics are amongst the youngest and most dynamic of the omics disciplines. While the molecules involved are smaller than proteomics and the other, larger “omics”, the challenges are in many ways greater. Elements are less constrained, there are no given “puzzle pieces” and there is a resulting explosion in terms of potential chemical space. It is impossible to even enumerate all chemically possible small molecules. The challenges and complexity of identifying small molecules even using the most advanced analytical technologies available today is immense. Current “big data” methods for small molecules rely heavily on chemical databases, the largest of which presently available contain ~100 million chemicals. Despite this large number, high resolution mass spectrometry (HR-MS) measurements contain tens of thousands of features, of which only a few percent can be annotated as “known” and confirmed as metabolites or chemicals of interest using these chemical databases. How can we find relevant small molecules in the ever increasing data loads? How can we annotate more of the unknown features in HR-MS experiments? This talk will present European, US and worldwide initiatives to help find small molecules in big data – from chemical databases to spectral libraries, real-time monitoring to retrospective screening. It will touch on the challenges of standardized structure representations, data curation and deposition. Finally, it will show how interdisciplinary communication, data sharing and pushing the boundaries of current capabilities can facilitate research efforts in metabolomics, exposomics and beyond. This abstract does not necessarily represent U.S. EPA policy.

 
Leave a comment

Posted by on April 11, 2018 in MS Structure Identification

 

PRESENTATION ACS SPRING 2018: Structure identification by Mass Spectrometry Non-Targeted Analysis using the US EPA’s CompTox Chemistry Dashboard

Structure identification by Mass Spectrometry Non-Targeted Analysis using the US EPA’s CompTox Chemistry Dashboard

Identification of unknowns in mass spectrometry based non-targeted analyses (NTA) requires the integration of complementary pieces of data to arrive at a confident, consensus structure. Researchers use chemical reference databases, spectral matching, fragment prediction tools, retention time prediction tools, and a variety of other data to arrive at tentative, probable, and confirmed, if possible, identifications. With the diverse, robust data contained within the US EPA’s CompTox Chemistry Dashboard (https://comptox.epa.gov), the goal of this research is to identify and implement a harmonized identification tool and workflow using previously generated chemistry data. Data has been compiled from product use, functional use prediction models, environmental media occurrence prediction models, and PubMed references, among other sources. We will report on our development of a visualization tool whereby users can visualize the relative contribution of identification-based metrics on a list of candidate structures and observe the greatest likelihood of occurrence. These data and visualization tools support NTA identification via the Dashboard and demonstrate an open, accessible tool for all users of HRMS data. This abstract does not necessarily represent the views or policies of the U.S. Environmental Protection Agency.

https://doi.org/10.6084/m9.figshare.6030893.v1

 
Leave a comment

Posted by on March 26, 2018 in ACS Meetings

 

PRESENTATION ACS SPRING 2018: US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for chemical sources of risk

US EPA CompTox Chemistry Dashboard as a source of data to fill data gaps for chemical sources of risk

Chemical risk assessment is both time-consuming and difficult because it requires the assembly of data for chemicals generally distributed across multiple sources. The US EPA CompTox Chemistry Dashboard is a publicly accessible web-based application providing access to various data streams on ~760,000 chemical substances. These data include experimental and predicted physicochemical property data, bioassay screening data associated with the ToxCast program, consumer product and functional use information and a myriad of related data of value to environmental scientists and toxicologists. At this stage of development, the public dashboard provides access to almost 20 predicted physicochemical and environmental fate and transport endpoints with full transparency in terms of model performance. Experimental and predicted human and ecological toxicity data are also available, as are in vitro to in vivo extrapolation dosimetry predictions and predicted exposure and functional use. In parallel to the CompTox Chemistry Dashboard we are developing RapidTox, a web-based application that enables a rapid, flexible and transparent prioritization process for sets of chemicals using several previously used workflows focused on scoring of traditional risk metrics and the inclusion of alternative hazard and exposure estimates. This presentation will give an overview of the CompTox Chemistry Dashboard, RapidTox, our approaches to building transparent and open prediction models, and our efforts to provide access to real time predictions. This abstract does not necessarily represent U.S. EPA policy.

https://doi.org/10.6084/m9.figshare.6027377.v1

 
 
 
Stop SOPA