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.
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., 2017, Toward Precision Healthcare: Context and Mathematical Challenges, Frontiers in Physiology, Vol:8, ISSN:1664-042X
Zhang H, Salazar JD, Yaliraki SN, 2017, Proteins across scales through graph partitioning: application to the major peanut allergen Ara h 1, Journal of Complex Networks, ISSN:2051-1310
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