Stephan C. Schürer, Ph.D.

Roles

• Biography

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  Dr. Schürer studied chemistry at Humboldt University of Berlin and University of California Berkeley. Following his PhD from the Technical University Berlin, he built and directed the international operations to the develop life science information technology and scientific content products at Libraria and Eidogen-Sertanty Inc, two technology startups in San Jose California where he was a founding member. After building the operational and discovery cheminformatics platform at Scripps Florida to support Scripps Drug Discovery and the Scripps Molecular Libraries Screening and Probe Discovery Program, he started his academic career at the University of Miami. At Miami he developed the BioAssay Ontology (BAO) which has become the de-facto standard to describe drug discovery assays and is widely used across the industry. Among numerous research collaborations, Dr. Schürer has served as Principal Investigator in several national and international research consortia, the Molecular Libraries Program (MLP), Library of Integrated Network-based Cellular Signatures (LINCS), Big Data to Knowledge (BD2K), Illuminating the Druggable Genome (IDG), Rapid Acceleration of Diagnostics (RADx), and Molecular Phenotypes of Null Alleles in Cells (MorPhiC).

• Education & Training

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  Education

  2000: Technical University Berlin, Berlin, Germany

  PhD, Chemistry

  1996: Humboldt University, Berlin, Germany

  MS, Chemistry

  Post Graduate Training

  1995: Humboldt-University Berlin, Berlin, Germany

  Internship, Bioorganic Chemistry

  1995: Schering AG Berlin

  Internship

  1994: Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany

  Internship

• Honors & Awards

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• Teaching Interests

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  Dr. Schürer teaches introduction to cheminformatics & computational chemistry, bioinformatics, kinase structure and function, and drug development in several graduate programs at the Miller School of Medicine.

• Research Interests

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  The Schürer Systems Drug Discovery Research Group develops and applies data science approaches across the domains of chemistry, biology, and medicine with applications in drug repositioning and -rescuing, precision combination therapies, and developing novel small molecules with specific biological functions and mechanisms. Our research programs interface data science, cheminformatics, computational biology, and medicinal chemistry. To make large and diverse datasets FAIR (Findable Accessible, Interoperable and Reusable) and enable the development of data-driven and semantic models, our group develops data standards, ontologies, and full stack software applications.

• Publications

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• Copyrights & Patents

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  “Chemistry Resource Database”

  283186571264, Patent

  Inhibitors of the notch transcriptional activation complex kinase (" nack") and methods for use of the same

  283186509824, Patent

  ”Method of Flexibly Generating Diverse Reaction Chemistries”

  283186597888, Patent

  “Separation of Matching and Mapping in Chemical Reaction Transforms”

  283186532352, Patent

• Professional Activities

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