CV PDF

Basics

Name Melike Berksöz
Email mberksoz@sabanciuniv.edu
Languages Turkish (native), English (Fluent), German (Intermediate)
Address Sabanci University, Faculty of Engineering and Natural Sciences, İstanbul

Education

  • 2024
    PhD
    Sabanci University
    Molecular Biology and Bioengineering
  • 2014
    MSc
    Albert Ludwigs University of Freiburg
    Chemistry
  • 2010
    BSc
    Middle East Technical University
    Chemistry

Research experience

  • 2018 - 2024
    Doctoral Researcher
    Sabanci University, Multiscale Interactions and Dynamical Systems (MIDST) lab
    • Investigated the allosteric regulation of fluorescence in protein-based biosensors with classical and enhanced molecular dynamics simulations - supervised by Prof. Canan Atilgan
    • Performed Perturbation Response Scanning (PRS) to identify allosteric sites most suitable for insertion of reporter domains.
    • Employed Alphafold2 with a focus on obtaining alternative conformations.
    • Designed and ranked binding site and allosteric mutants in terms of ligand affinity using steered-MD simulations. Results are complemented by wet-lab experiments.
  • 2016 - 2021
    Research Scientist
    İlko Pharmaceuticals, Teknopark İstanbul
    • Worked as an industrial PhD candidate in collaboration with Sabanci University on development of anti-cancer antibodies.
    • Developed liquid chromatography-mass spectrometry methods for characterization of therapeutic antibodies from mammalian expression systems; identified post-translational modifications including glycans, charge variants, disulfide shuffling, aggregation, and stability.
    • Involved in tech transfer from South Korean partner company Genexine.
  • 2014 - 2015
    Research Assistant
    Albert Ludwigs University of Freiburg
    • Worked as a Master's student in the group of Prof. Susana Andrade.
    • Purified the ammonium transporter Amt1 and performed electrophysiology and Cryo-TEM to quantify the electrogenic ion current per monomer.

Research communication

Skills

Computational Skills
  • Classical and enhanced MD simulations
  • MD input preparation - Alphafold/Colabfold, CHARMM-GUI
  • Molecular Visualization; VMD/ChimeraX, Pymol
  • High Performance Computing - workload managers, Bash and Unix
  • Data analysis workflows with Python notebooks
  • Statistical data analysis and visualization with Graphpad Prism
Experimental Skills
  • Recombinant protein production and purification
  • Antibody characterization - aggregation, degradation, post-translational modifications, glycan and charge variant analyses
  • Antigen Binding Assays - Surface Plasmon Resonance
  • Liquid Chromatography-Mass Spectrometry (Q-ToF)
  • Capillary Electrophoresis
  • Forced degradation study design. Investigation of degradation pathways (deamidation, oxidation, thermal and pH stability)
  • Statistical data analysis and visualization with Graphpad Prism