Lars Eicholt

PhD Student

 

© Lars Eicholt

Molecular Evolution and Bioinformatics
Institute for Evolution and Biodiversity
University of Münster
Hüfferstr. 1
48149 Münster, Germany
Tel.: +49 251/83-21634
l.eicholt@wwu.de

Nationality: German De

Education

  • Since 2022:
    PhD student in the Molecular Evolution and Bioinformatics Group, Institute for Evolution and Biodiversity, University of Münster, Germany
  • 2020 - 2021:
    PhD student in the group of Prof. Dr. Roland Riek, Laboratory of Physical Chemistry, ETH Zurich, Switzerland
    Topic: Amyloids in the Origin of Life (discontinued)
  • 2019:
    Visiting student in the group of Dr. Klara Hlouchova, Charles University in Prague
    Topic: Reversed Evolution of HIV-Protease
  • 2018 - 2020:
    Master of Science in Biotechnology (M.Sc.), Lund University, Sweden
    Master thesis: "Enzyme Engineering of a D-Ribulose-1-Phosphate 5-Kinase" in the group of Prof. Dr. Dan S. Tawfik, Weizmann Institute of Science, Israel
  • 2016:
    Erasmus+ student at University of Gothenburg, Sweden
  • 2014 - 2018:
    Bachelor of Science in Biological Science (B.Sc.), University of Münster, Germany
    Bachelor thesis: "Expression and purification of possible de novo genes of Mus musculus for further investigation via CD and NMR" in the group of Prof. Dr. Erich Bornberg-Bauer

Work experience

  • 2021:
    Research Assistant in Molecular Evolution and Bioinformatics Group, Institute for Evolution and Biodiversity, University of Münster, Germany

Supervisors

  • Prof. Dr. Erich Bornberg-Bauer, Institute for Evolution and Biodiversity, University of Münster, Germany

  • Prof. Dr. Daniel Kümmel, Institute for Biochemistry, University of Münster, Germany

  • Dr. Georg Hochberg, Max-Planck Institute for Terrestrial Microbiology, Marburg, Germany

Research interests

  • Structure prediction of de novo proteins (Alphafold, Gromacs)

  • Structural biology (Cryo-EM, NMR, CD)

  • Expression and purification of de novo proteins

  • Protein engineering

Publications

  • Aubel M, Eicholt L, Bornberg-Bauer E (2023) Assessing structure and disorder prediction tools for de novo emerged proteins in the age of machine learning. F1000Research 12:347. 10.12688/f1000research.130443.1

  • Eicholt LA, Aubel M, Berk K, Bornberg-Bauer E, Lange A (2022) Heterologous expression of naturally evolved putative de novo proteins with chaperones. Protein Science 31(8):e4371. 10.1002/pro.4371 [doi]