Multilevel Computational Modelling of Human Diseases

The purpose of this course is the training of the participants in the field of computational modelling and interpretation of experimental data of different sources, ranging from atomic-level interactions between macromolecules to "omics" data. The course is divided into two distinct modules: "Computational and experimental aspects of biomolecular interactions from drug design to nano-biomaterials" is dedicated to the domain of physical and computational chemistry, "Creating in silico models of diseases" to the one of systems biology and biocomputing applied to "omics" information of different origins.

At the end of the course, the student is expected to acquire the basic knowledge for understanding the computational results/analysis described in scientific literature, to master the knowledge of the application of computational methods used in medical biotechnologies, to critically evaluate advantages and disadvantages of in silico approaches when applied of data from various sources.