John R. Yates is the Ernest W. Hahn Professor in the Departments of Molecular Medicine and Neurobiology at Scripps Research. His research interests include development of integrated methods for tandem mass spectrometry analysis of protein mixtures, bioinformatics using mass spectrometry data, and biological studies involving proteomics. He is the lead inventor of the SEQUEST software for correlating tandem mass spectrometry data to sequences in the database and developer of the shotgun proteomics technique for the analysis of protein mixtures. His laboratory has developed proteomic techniques to analyze protein complexes, posttranslational modifications, organelles and quantitative analysis of protein expression for the study of biology. He has received awards including the ASMS Biemann Medal, HUPO Achievement Award, Christian Anfinsen Award (Protein Society), Analytical Chemistry award (ACS), Ralph N. Adams Award, Thomson Medal (IMSF), John B. Fenn Award (ASMS), HUPO Discovery Award. He is currently the EIC at the Journal of Proteome Research.
All Sessions by John Yates
October 20, 2020
08:45
Session 5A - New Technologies/Innovations (MS and non-MS)
08:45 - 10:15 UTC
Chair: Michelle Hill, Australia Co-Chair: Nicolai Bache, Denmark Development of a Pan-coronavirus Proteome Serological Assay, Josh LaBaer, United States The 3D Proteome and the Potential for Conformational Biomarkers, John Yates, United States Protein Biomarker Quantification by LCMS Enabling Gene Therapy and Biotherapeutics Development in Biopharma, Hendrik Neubert, United States
This session is supported by:
18:00
Session 5B - New Technologies/Innovations (MS and non-MS)
18:00 - 19:30 UTC
Chair: Susan Weintraub, United States Co-Chair: Justyna Fert-Bober, United States Development of a Pan-coronavirus Proteome Serological Assay, Josh LaBaer, United States The 3D Proteome and the Potential for Conformational Biomarkers, John Yates, United States Protein Biomarker Quantification by LCMS Enabling Gene Therapy and Biotherapeutics Development in Biopharma, Hendrik Neubert, United States
This session is supported by:
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John Yates
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