The best IHT master’s projects in 2022


Dear Master’s graduates of ESIHT 2022!

This year’s competition for the best diploma theses took place under martial law. Many of you and your scientific supervisors have not succeeded in realizing all the plans of scientific research. But you and I did the almost impossible, and your defenses pleasantly impressed the respected attestation commissions. Your diploma theses were no worse than last year’s, so this year the certification commissions decided to award the title “Best diploma thesis 2022” to as many as six works. We congratulate the winners and wish them continued success!

Here is the list of winning works:

  • Master’s graduation thesis, student of specialty 10.105 “Applied physics and nanomaterials”, EL High technologies (Applied physics and nanomaterials).

Mruga Darina Oleksandrivna “Development of a biosensor system for determining the activity of ALT and AST”

Scientific supervisor: Dr. B. N. Soldatkin Oleksandr Oleksiyovych

Taking a cell, adding blood serum from a patient in critical condition with a damaged liver and determining the level of ALT right in the ambulance is the ultimate goal of developing a new electrochemical biosensor for determining ALT activity. Simple, quick and accurate enough to prescribe primary treatment. Its laboratory prototype has been developed, improvements are planned and its future contribution to saving lives is dreamed of.

Daryna’s thesis can be viewed here. An interesting fact is that Daryna is a biologist with a bachelor’s degree in the Department of Biology (high technologies).


  • Master’s graduation thesis, female students of specialty 16.162 Biotechnology OP High technologies (Biotechnology)

Anastasia Kostyantynivna Krychun “Creation of genetic constructs for bacterial and eukaryotic expression of proteins potentially able to interact with the PH domain of the BCR/ABL protein”

Academic supervisor from the Department of Molecular Biotechnology and Bioinformatics – Dragan Anatoliy Ivanovich, PhD. The work was carried out in the Department of Molecular Genetics of the Institute of Molecular Biology and Genetics under the supervision of Dr. Dmytro Serhiyovych Gur’yanov

Chronic myeloid leukemia is an oncological disease of the red bone marrow, which is characterized by the presence of a genetic pathology – the Philadelphia chromosome. It is formed by the erroneous translocation of chromosomes 9 and 22. As a result, the bcr-abl gene is formed, which expresses the oncogenic protein BCR-ABL. BCR-ABL has kinase activity and causes uncontrolled division of cancer cells. The study of cells that contained the Philadelphia chromosome showed that a number of proteins can interact with the PH domain of the BCR-ABL protein.

In the course of the work, the mCherry-SMC1 genetic construct was created, which contains the fluorescent part of mCherry and the full-length SMC1 protein. This design can be used for further studies in fluorescence microscopy. A pGEX4T1-FBP17 construct was also created, which can be used to express the full-length FBP17 protein in bacterial cells. In addition, protein expression from the pGEX4T2-CTTN construct was carried out. The generated genetic constructs can be used in further studies in mammalian cells and to express the protein in bacterial cells and further study it.

And here is Anastasia’s work itself.

  • Master’s graduation thesis, female students of the specialty 09.091 Biology, EL “Bioinformatics and structural biology”

Myroslava Yuriivna Slyusar “Effect of single-walled carbon nanotubes on the expression of microRNAs and genes associated with proliferation and apoptosis”

Research supervisor from the Department of Molecular Biotechnology and Bioinformatics, PhD, Assoc. O. Yu. Niporko

The work was carried out in the Department of Molecular Biology of the Institute of Biochemistry named after O.V. Paladin of the National Academy of Sciences of Ukraine under the leadership of member-cor. National Academy of Sciences of Ukraine, Prof., Doctor of Science O.G. Minchenko

Single-walled carbon nanotubes (SCNTs) are carbon nanostructures with unique chemical, physical, and mechanical properties. This makes them promising compounds for biomedical applications. Numerous publications have demonstrated that carbon nanotubes can easily penetrate cells and deliver attached drug molecules. Despite the widespread use of OSCNTs in medicine, their possible toxicity is a cause for concern. The results of the work confirm that low doses of single-walled carbon nanotubes disrupt the expression of numerous mRNAs and miRNAs encoding various important regulatory factors associated with endoplasmic reticulum stress, cell proliferation, apoptosis, and carcinogenesis in normal human astrocytes. It has been shown that these effects can be mediated by both transcriptional and post-transcriptional regulation. The obtained results confirm the genotoxic and neurotoxic effect of single-walled carbon nanotubes.

If you want to know more about Myroslava’s work, read here.

  • Master’s graduation thesis, student of specialty 102 Chemistry OP High technologies (Chemistry and nanomaterials)

Vadym Andreyovich Sham “Photoinduced synthesis of 1-iodo-3-substituted bicyclo[1.1.1]pentane derivatives”

Research supervisor – prof. Department of Supramolecular Chemistry, Ph.D. Ihor Volodymyrovych Komarov

The work was carried out on the basis of  “Enamin” LLC, the scientific consultant is Ph.D. Mykhailiuk P. K.

The combination of photochemistry and flow synthesis technology made it possible to bring the synthesis of 1-iodo-3-substituted bicyclo[1.1.1]pentane derivatives to a new level. No catalysts or poisonous reagents, just light and carefully controlled process conditions. These are the results of the thesis – a new synthetic method that made it possible to synthesize a number of promising precursors, which may one day become the basis for the latest medicines.


  • Graduation thesis of a master’s degree, student of the specialty 102 Chemistry, EL High technologies (Chemoinformatics)

Maryana Yuriivna Perebijnis “Critical assessment of databases of synthetically accessible molecules”

Research supervisor from the department of supramolecular chemistry, professor of the department, Doctor of Science Ihor Volodymyrovych Komarov

The work was performed at the Laboratory for Therapeutic Innovation Faculty of Pharmacy, University of Strasbourg under the supervision of Dr. Didier Rognan

This is what Maryana writes about her work: “Chemical space is easiest to imagine in the form of a starry sky. Only instead of stars – molecules (and the number of possible molecules is much more than all the stars). But somewhere out there, among the myriads, there are those molecules that can be medicines. We are currently only able to work with a small fraction of all possible molecules. However, it is already difficult for us to operate with such large volumes. Even with the use of supercomputers. Therefore, chemical spaces are stored as a Lego constructor. It can be combined in different ways (virtual reactions), and its parts are fragments of molecules. However, it is possible to collect both a really existing molecule and one that has not yet been synthesized. The task of my work is to compare three sets of such constructors (chemical spaces) by finding actually existing combinations in them, and to compare with each other”

You will find many more interesting things in Maryana’s work!

  •  Graduation thesis of a master’s degree, student of the specialty 102 Chemistry, EL High technologies (Chemoinformatics)

Olena Viktorivna Denisenko “Path to De novo generation of selective ligands for adenosine A2B receptor”

Research supervisor from the Department of Supramolecular Chemistry, professor, Doctor of Science. Ihor Volodymyrovych Komarov

The work was carried out in the Department of Drug Development and Safety, Leiden Academic Center for Drug Discovery, Leiden University under the supervision of Prof. Gerard JP van Westen

A pathway to de novo generation of selective ligands for the adenosine A2B receptor. The QSAR method is based on the application of mathematical statistics and machine learning methods to build models that allow predicting their properties based on the description of the structures of chemical compounds. The paper presents the results of creating 22 QSAR models with the aim of using them to search for active ligands of the adenosine A2B receptor, which plays an important role in tumor cell proliferation, angiogenesis, metastasis, and immune suppression. The work was carried out on the basis of Leiden University, the Netherlands. Modeling is part of a project aimed at generating selective antagonists for the A2B receptor.


Elena’s work.

Thank you to the sponsor – the Ukrainian company “Enamin”!

The best IHT master’s projects in 2022