György obtained his M.Sc. in Biology from the University of Debrecen (Hungary), and his Ph.D from Warsaw University (Poland). Initially his bioinformatic work focused on comparative genomics and the biology of transposable elements (TEs), particularly on TE – host coevolution. More recently he worked in computational structural biology, and focused on the factors governing the evolution of quaternary structure of proteins, and their dependence on interactions with their ligands. He has demonstrated that the structure of ligand binding site is a fundamental factor shaping the evolution and function of protein complexes, including folding, allostery or chaperone interactions. He joined the Department in March 2020, where his research interests include the structural and functional consequences of genomic variants.
1. Abrusán G, Marsh JA. 2019. Ligand binding site structure shapes folding, assembly and degradation of homomeric protein complexes. J. Mol. Biol. 431:3871-3888.
2. Abrusán G, Marsh JA. 2019. Ligands and receptors with broad binding capabilities have common structural characteristics: an antibiotic design perspective. J. Med. Chem. 62:9357-9374.
3. Abrusán G, Marsh JA. 2019. Ligand binding site structure shapes allosteric signal transduction and the evolution of allostery in protein complexes. Mol. Biol. Evol. 36:1711-1727.
4. Abrusán G, Marsh JA. 2018. Ligand binding site structure influences the evolution of protein complex function and topology. Cell Rep. 22:3265-3276.
5. Abrusán G, Marsh JA. 2016. Alpha helices are more robust to mutations than beta strands. PLoS Comput. Biol. 12:e1005242.
6. Abrusán G, Yant SR, Szilágyi A, Marsh JA, Mátés L, Izsvák Z, Barabás O, Ivics Z. 2016. Structural determinants of Sleeping Beauty transposase activity. Mol. Ther. 24:1369-77.
7. Abrusán, G. 2013. Integration of New Genes into Cellular Networks, and Their Structural Maturation. Genetics 2013 195:1407-1417.
8. Abrusán G., Szilágyi A., Zhang Y., and B. Papp. 2013. Turning gold into ‘junk’: transposable elements utilize central proteins of cellular networks. Nucleic Acids Res. 41:3190-3200.
9. Abrusán G., N. Grundman, L. DeMeester and W. Makałowski. 2009. TEclass – a tool for automated classification of eukaryotic transposable elements. Bioinformatics 25:1329-1330.
10. Abrusán G., J. Giordano and P.E. Warburton. 2008. Inferring selection from transposon interruptions. PLoS Genetics 4: e1000172.