Systems Network Analysis

Laboratory of Systems Biology

Research Services: 
  • Standard and advanced microarray data pre-processing techniques, including quality control analysis, normalization, batch effect removal, eliminating unspecific probes, performing custom annotation and using custom chip definition (CDF) files for more accurate expression evaluation.
  • Professional analysis of expression data: finding differentially expressed genes with linear models and eBayes methods, gene ontology terms enrichment analysis with modern tools (GSEA, EnrichR), cluster analysis and classification of samples, gene regulatory networks reconstruction (Bayesian inference and information theory approaches), visualization (PCA, heatmaps, boxplots etc) and plots creating with ggplot2 R library.

Laboratory of Computer Modeling

Research Services: 
  • Virtual high-throughput screening using structure-based (molecular docking) and ligand-based (QSAR, pharmacophore modeling) approaches;
  • Identification and analysis of binding sites;
  • Structure-activity relationship (SAR) analysis;
  • Computational studies of drug-receptor interactions;
  • Hit identification and optimization;
  • Hit to lead optimization;
  • In silico ADME predictions;
  • Molecular dynamics of proteins, nucleic acids, extra large heterogeneous systems;
  • Design of target-focused compound libraries with high affinity to the molecular targets (our compound collection contains about 200,000 organic compounds which are immediately available for screening).