Research activities in biochemistry and molecular biology within BioCDD focus on understanding proteins, enzymes, nucleic acids, metabolic pathways, and cellular mechanisms at the molecular level. The group conducts studies particularly on elucidating disease mechanisms, identifying biological targets, and performing functional analyses of biomolecules. In addition, gene expression analyses, omics data evaluation, investigation of molecular interactions, and integration of experimental data with bioinformatics approaches constitute major research areas of the group.
Research in pharmacology and pharmaceutical sciences focuses on the discovery of novel drug candidates, investigation of their interactions with biological targets, and the application of computational approaches to drug development processes. Molecular docking, molecular dynamics simulations, pharmacophore modeling, ADMET analyses, and artificial intelligence-assisted drug design represent the group’s core areas of expertise. In particular, the group aims to develop innovative therapeutic approaches through the in silico evaluation of natural compounds, synthetic small molecules, and multi-target drug candidates.
Within the scope of mathematical and computational biology, research activities focus on modeling biological systems, analyzing large-scale biological datasets, and applying artificial intelligence-supported computational methods to life sciences. The group utilizes bioinformatics, data science, machine learning, network biology, and systems biology approaches to investigate complex biological processes. Computational solutions are particularly developed for drug discovery, genomic analyses, protein structure prediction, and biological data integration.