Nutrigenomics studies the impact of nutrition on genomic stability, epigenetic modifications, transcriptome, proteome, metabolome and development of chronic diseases, such as cancer. The purpose of our master’s thesis is to review the literature of the best studied bioactive components in cancer prevention diet and to select the compound for which, using bioinformatics tools, target proteins were predicted. We observed that epigallocatechin gallate (EGCG) is one of the best studied compounds in the diet that works against cancer. It is experimentally proven that EGCG prevents DNA mutations, because it participates in DNA repair mechanisms and prevents development of cancer being an inhibitor of proliferation, angiogenesis, invasion and metastasizing and an inducer of apoptosis. By application of bioinformatics programme of Proteus inverse molecular docking we predicted 100 target proteins in humans with the least free binding energy in interaction with EGCG. 59 protein targets have been rediscovered by Proteus and they represent the starting point for subsequent experimental research. To this end, we determined the influence of target proteins on transcription factors and their target genes, and we analysed the effect on signal transduction pathways. By application of the PyMOL molecule visualisation programme we demonstrated the interactions between EGCG and certain target proteins. In this way we contributed not only to validation of nutrigenomic studies and the Proteus programme but also to the development of a nutrigenomic database. In combination with individual drug prescribing according to individual genotype, we can develop an effective anti-cancer treatment system.