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

11 Apr


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.


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.


About tony

Founder of ChemZoo Inc., the host of ChemSpider ( ChemSpider is an open access online database of chemical structures and property transaction based services to enable chemists around the world to data mine chemistry databases. The Royal Society of Chemistry acquired ChemSpider in May 2009. Presently working as a consortium member of the OpenPHACTS IMI project ( This focuses on how drug discovery can utilize semantic technologies to improve decision making and brings together 22 European team members to develop an infrastructure to link together public and private data for the drug discovery community. I am also involved with the PharmaSea FP7 project ( trying to identify new classes of marine natural products with potential pharmacological activity. I am also one of the hosts for three wikis for Science: ScientistsDB, SciMobileApps and SciDBs. Over the past decade I held many responsibilities including the direction of the development of scientific software applications for spectroscopy and general chemistry, directing marketing efforts, sales and business development collaborations for the company. Eight years experience of analytical laboratory leadership and management. Experienced in experimental techniques, implementation of new NMR technologies, walk-up facility management, research and development, manufacturing support and teaching. Ability to provide situation analysis, creative solutions and establish good working relationships. Prolific author with over a 150 peer-reviewed scientific publications, 3 patents and over 300 public presentations. Specialties Leadership in the domain of free access Chemistry, Product and project management, Organizational and Leadership development, Competitive analysis and Business Development, Entrepreneurial.
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Posted by on April 11, 2018 in MS Structure Identification


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