Research Interests
I am an experimental and computational biologist with training spanning biochemistry, molecular evolution, and theoretical population genetics. My research focuses on understanding the principles shaping evolutionary landscapes, from protein structure and enzyme evolvability to population-level evolutionary dynamics.
I received my PhD in Biochemistry from the Weizmann Institute of Science, under the supervision of Prof. Dan S Tawfik, where my work combined wet lab experimentation, including protein engineering, enzymatic assays, and X-ray crystallography, with evolutionary theory to study stability, epistasis, and functional innovation in enzymes.
During my postdoctoral work at Tel Aviv University and my research project at UC Berkeley, I shifted toward computational and mathematical approaches, developing population genetic models and stochastic simulations to study the effects of signalling mistake on evolution, antibiotic resistance, and the evolution gene fusion.
More recently, I have been supervising biochemistry and bioinformatics at the University of Cambridge.
Supervisions
Bioinformatics PartII CST M2025
NST Part IB Biochemistry and Molecular Biology (BMB) 2025-26
Selected Publications
- What makes a protein fold amenable to functional innovation? Fold polarity and stability trade-offs E Dellus-Gur, A Toth-Petroczy, M Elias, DS Tawfik, Journal of molecular biology 425 (14), 2609-2621
- Negative epistasis and evolvability in TEM-1 β-lactamase—the thin line between an enzyme's conformational freedom and disorder E Dellus-Gur, M Elias, E Caselli, F Prati, MLM Salverda, JAGM De Visser, JS Fraser, DS Tawfik, Journal of molecular biology 427 (14), 2396-2409
- Initial mutations direct alternative pathways of protein evolution MLM Salverda, E Dellus, FA Gorter, AJM Debets, J Van Der Oost, RF Hoekstra, DS Tawfik, JAGM de Visser, PLoS genetics 7 (3), e1001321
- Errors in mutagenesis and the benefit of cell-to-cell signalling in the evolution of stress-induced mutagenesis E Dellus-Gur, Y Ram, L Hadany, Royal Society Open Science 4 (11), 170529
- Predicting microbial growth in a mixed culture from growth curve data Y Ram, E Dellus-Gur, M Bibi, K Karkare, U Obolski, MW Feldman, TF Cooper, J Berman, L Hadany, Proceedings of the National Academy of Sciences 116 (29), 14698-14707
