Research focus of the laboratory of infectious disease modelling (LIDM) is to develop state-of-the-art mathematical and statistical methods to tackle the many challenges faced by epidemiologists and microbiologists face when analysing infectious disease data.

Main tasks of the Laboratory of Infectious Disease Modelling

  1. To elaborate and to develop a contemporary methodological approach for carrying out a scientific research work  in molecular immunology and molecular virology. Provide consultative supervision and practical support for the proper implementation of the scientific approach (planing and modelling of experiments), as well as for the correct application of the scientific methodology in experimental research work at the AKMVI of the RSU.
  2. Ensure modern modeling-based approach integration into the on-going research. Design and  elaboration using Matlab and other analysis tools objective models of varies aspects of infectious disease, including molecular changes in the very early stages of its development, diagnostic and treatment possibilities, epidemiological aspects, disease control and prevention, disease spreading eradication, biosurveillance and its algorithms etc.
  3. Implementation of analysis of molecule-gene, gene-molecule interaction on different and multiple hierarchic levels using GeneXplain platform with TRANSFAC, also TRANSPATH modules, that represents huge online toolbox and workflow management system with integrated view on several contemporary databases and analysis tools for a broad range of bioinformatics and systems biology applications.
  4. Provide assistance to the data processing and statistical analysis with follow-up putative model building based on the real experimental data using Matlab, GraphPad Prism and other tools.

Specialists use the geneXplain platform with TRANSFAC and TRANSPATH modules for identifying potential transcription factor binding sites on genome sequences that could be affected by viral proteins, as well as to detect and prove possible binding proteins and their enhancers or promoters.

This also allows for building up complete networks and pathways of different molecules and their reactions, as well as documenting individual reactions with all experimental details. Once the modular approach is used, it is available to simulate and follow up apoptosis-related processes and mechanisms, as well as to model possible molecular events during infections.

One of LIDM’s latest activities is designing and developing the “infochemotherapeutica” approach for visualization of information acquired from analysis of data from pharmacogenomics of HIV and parvovirus B19 infected patients with the aim to help clinicians to improve decision-making for chemotherapeutic agent usage and to optimize further treatment strategy overall.

A. Kirhenšteins Institute of Microbiology and Virology,
The Laboratory of Infectious Disease Modelling
Contact person: Šimons Svirskis
RSU Science Hub Kleisti
5 Rātsupītes Street, Rīga, LV-1067
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.