- homology modeling of G-protein-coupled receptors
- virtual screening
- ligand docking
- pharmacophore modeling
- theoretical conformational analysis
- prediction of physico-chemical and pharmacokinetic properties of chemical compounds
- in silico studies of ligand-receptor interactions
- application of machine learning for searching of new biologically active compounds
- design and search for new antidepressant and anxiolytic agents
