The Yaliraki group is interested in the emergent properties of self-assembling systems in confined environments. Examples from biology include the mechanisms of fibril and viral capsid formations. Another area of interest is the electronic properties of molecular scale junctions. A unifying theme of our work is how geometry and topology affect the dynamics of systems at different scales. Emphasis is on coarse-graining and system reduction approaches.
et al., 2019, From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach
Zhang H, Salazar JD, Yaliraki SN, 2018, Proteins across scales through graph partitioning: application to the major peanut allergen Ara h 1, Journal of Complex Networks, Vol:6, ISSN:2051-1310, Pages:679-692
Hodges M, Barahona M, Yaliraki SN, 2018, Allostery and cooperativity in multimeric proteins: bond-to-bond propensities in ATCase, Scientific Reports, Vol:8, ISSN:2045-2322
et al., From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology
Altuncu MT, Yaliraki SN, Barahona M, Content-driven, unsupervised clustering of news articles through multiscale graph partitioning