Computational systems biology (SysBioLatvia)

Our team comprises expert system biology/medicine modelers and pharmacometricians with diverse backgrounds spanning control theory, computer science, biology, and pharmacology. Our primary research interests lie in systems biology/medicine and pharmacokinetics-pharmacodynamics, focusing on InVitro-InVivo extrapolation approaches development and pathway investigation based on Omics integration.

We specialize in developing tailored models aimed at facilitating research in metabolism, regulation, signaling, and pharmacokinetics. Leveraging various methodologies such as kinetic modeling utilizing ordinary differential equation systems, stoichiometric modeling (primarily for metabolism studies), Boolean modeling, as well as Linear and Nonlinear Mixed Effects Models, we adapt our approaches to meet specific research requirements.

We provide tailored model development strategies that align with the nature of the process under study, whether it involves metabolism, regulatory networks, pharmacokinetics/pharmacodynamics, signaling networks, or individual genetic variations. The complexity of the system's interacting elements and the extent of available knowledge or experimental data shape our approach.

Constructing a meaningful model demands significant effort from both modelers and domain specialists. However, the outcome offers a profound understanding of the intricate interactions among system elements. This comprehension enables the in silico testing of various hypotheses or interventions, aiding in the identification of the most promising ones for subsequent experimental implementation

Professor Egils Stalidzans holds a personal membership in the Virtual Physiological Human initiative and serves as the Latvian representative in the COST actions.

Omics integration, PK/PD, PBPK modelling, IVIV Extrapolation, Systems medicine,