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., 2022, Re: Repurposed Floxacins Targeting RSK4 Prevent Chemoresistance and Metastasis in Lung and Bladder Cancer, Journal of Urology, Vol:207, ISSN:0022-5347, Pages:919-920
Wu N, Stromich L, Yaliraki SN, 2022, Prediction of allosteric sites and signalling: insights from benchmarking datasets, Patterns, Vol:3, ISSN:2666-3899, Pages:1-12
et al., 2021, Repurposed floxacins targeting RSK4 prevent chemoresistance and metastasis in lung and bladder cancer, Science Translational Medicine, Vol:13, ISSN:1946-6234
et al., 2021, ProteinLens: a web-based application for the analysis of allosteric signalling on atomistic graphs of biomolecules, Nucleic Acids Research, Vol:49, ISSN:0305-1048, Pages:W551-W558
et al., 2021, HCGA: Highly comparative graph analysis for network phenotyping, Patterns, Vol:2, ISSN:2666-3899