Valentyna Zinchenko


College / University

Taras Shevchenko National University of Kyiv

Highest Degree

Bachelor of Science

Major Subjects

Biology (Minor: Biophysics)




Lab Experience

Biophysical methods: spectroscopy, amperometry, patch-clamp. Molecular biology methods: RNA isolation, PCR, electrophoresis. Computational methods: structure and disorder prediction software, homology modelling, molecular and quantum dynamics simulation programs (Gromacs, Gaussian, Yasara), writing scripts in Python, data analysis using R.

Projects / Research

  • 07/2016 – 08/2016: “Computational modeling of Human 3’-phosphoadenosine 5’-phosphosulfate Synthase PAPSS2”. CNSB AS CR, Nove Hrady (Czech Republic)
  • 10/2015 – 06/2016: “Computational modelling of AIMP1 structure and molecular dynamics simulations”. Department of Protein Engineering and Bioinformatics, IMBG NASU, Kyiv (Ukraine)
  • 03/2015 – 10/2015: “Analysis of transcription factor binding sites for genes Pick1, Grin3a and GABRA2”. Laboratory of Systems Biology, IMBG NASU, Kyiv (Ukraine)
  • 01/2014 – 03/2015: “Development of a biosensor for lactate concentration determination based on lactate oxidase immobilized on the Nafion, nanodiamonds and poly (m-phenylenediamine) membrane”. Laboratory of Biomolecular Electronics, IMBG NASU, Kyiv (Ukraine)

Scholarships / Awards

2016 – 2017: Stipend by the International Max Planck Research School
2013 – 2016: Ukrainian governmental enhanced scholarship for academic excellence
2012 – 2013: Scholarship of the president of Ukraine for National Ukrainian Olympiad winners
2011 – 2016: Donetsk regional scholarship for National Ukrainian Olympiad winners


I consider analysis of large amounts of biological data to be both the most interesting and the most promising field of science. Thus, currently my major research interest is sequence analysis and structural biology of proteins. I am interested in physical and molecular characteristics of proteins that contribute to folding and movement. My goal is to develop for myself a solid basis of both molecular biology knowledge and computational skills in order to work on improving molecular dynamics software in the future.