Организация, в которой проходила защита:
МГУ-ППИ (Шэньчжэнь)
Год защиты:2021
Аннотация:This Master Degree thesis is aimed at exploring the potential of modern network science and its analytical tools with respect to biological systems. Special importance is placed on the applicability of criteria used for establishing the degree of centralization/decentralization of network structures and for singling out substructures (cliques, communities) in them. These criteria include node degree (degree centrality), betweenness centrality, closeness centrality, clustering coefficient, and others. Biological systems that are analysable in network structure terms are exemplified by fish schools (using pictures from published works), the microbiota of the human gastro-intestinal tract (theoretical analysis), and the culture of the alga Chlorella vulgaris under the influence of the neurochemical dopamine (the author’s own experimental studies). It was revealed that dopamine significantly changes algal cells’ arrangement pattern, and this conclusion was drawn from the analysis of the data obtained in terms of network centrality criteria. Dopamine was also found to increase C. vulgaris growth rate.