My current focus is at developing and implementing graph-theoretic computational methods and tools to perform the analysis and simulation of cellular networks in order to predict key genes and drug targets related to oncogenic diseases.


Research topics:

Research Interests:

  • Networks
  • Systems Biology
  • Biomodelling
  • Bioinformatics
  • Discrete Mathematics
  • Automata and Formal Languages
  • Cellular computing
  • DNA computing



















Here you can find the list of all my publications ———————————————————————————————————————————————————————————————

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Gene Assembly in Ciliates

Ciliates are an ancient group of eukariotes (about 2.5 billion years old). They are known to be the most complex unicellular organisms on the Earth. Their main special feature which differs them from the other eukariotes is nuclear duality: ciliates have two types of nuclei (micronucleus and macronucleus) performing completely different functions. Micronuclei are used …

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Membrane Computing

Membrane Computing is a theory, which studies formal models of distributed computations with basic notions inspired and abstracted from biology. In a nutshell, membrane computing considers computational models having such basic components as a membrane (separator of an internal region from the external one), membrane structure (nested one or a network), multiset of abstract objects …

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Studying cancer with networks

We apply network-theoretic approach to study cancer related phenomena at the gene-scale level. Intracellular signalling networks comprise the information about interactions between numerous cellular components such as ligands, receptors, enzymes, RNA and DNA molecules, etc. Numerous intracellular signaling pathways formed by cascades of biochemical events in proteins triggered by extracellular cues dictate the cellular behavior …

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