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DC12 supervisor

Dr. Erik Marklund

Uppsala University (UU), Department of Chemistry – BMC

After a MSc of Science and Technology in Molecular Biotechnology I pursued a PhD in Physics, specializing in Biophysics. During my PhD I used computations to study the structures of proteins in vacuum and the condition under which a native-like structure can be preserved. This topic remains highly relevant within native MS and related techniques, and during a postdoctoral period with Profs Carol Robinson and Justin Benesch in Oxford, I developed this line of research further. In my current research group in Uppsala we strive to develop better computational methods for interrogating proteins in vacuum, and apply them to understand specific proteins in collaboration with experimentalist colleagues, but we also seek to understand the experiments and proteins in general better, and explore new means for manipulating the proteins in flight.

“MS has become tremendously important and useful for a wide range of biochemical research. In order to secure continued progress within the field, which would impact many other downstream fields in applied and basic research, a new generation of experts need to be trained to harness and further the current state-of-the-art. MobiliTraIN serves this purpose, by providing an interdisciplinary doctoral network that connects leading research groups within MS-connected areas.”

Selected Publications

  1. Brodmerkel et al. (2022) Stability and conformational memory of electrosprayed and rehydrated bacteriophage MS2 virus coat proteins. Curr. Res. Struct. Biol. 4:338-+
  2. Marklund E.G., Benesch J.L.P. (2019) Weighing-up protein dynamics: the combination of native mass spectrometry and molecular dynamics simulations. Curr. Opin. Struct. Biol. 54:50-+
  3. Gabelica V., Marklund E.G. (2018) Fundamentals of ion mobility spectrometry. Curr. Opin. Chem. Biol. 42:51-+
  4. Marklund et al. (2017) Controlling Protein Orientation in Vacuum Using Electric Fields. J. Phys. Chem. Lett. 8(18):4540-+
  5. Marklund et al. (2015) Collision Cross Sections for Structural Proteomics. Structure 23(4):791-+