Author

E. Ilker

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 3 Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:cell signaling & trafficking· 2 Research Focus:chromatin & epigenetic regulation· 2 Approach:deep learning· 2 Organism:human· 2 Organism:bacteria (other)· 1 Organism:E. coli· 1 Approach:experimental assay· 1

Frequent Co-Authors

M. Hinczewski· 4 shared B. Kuznets-Speck· 2 shared J. Chiel· 2 shared O. Güngör· 2 shared S. Deffner· 2 shared C. Cavaniol· 1 shared D. Matic Vignjevic· 1 shared E. Dolson· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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4 shared papersBiophysics

M. Hinczewski

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Author profile →

5 papers

Recent·Most cited

Bioenergetic costs and the evolution of noise regulation by microRNAs

E. Ilker, M. Hinczewski

The paper develops a stochastic model of miRNA noise regulation and calculates binding free energies to show how natural selection may have optimized miRNA-mRNA affinity for energy-efficient noise control.

bioRxiv · Mar 28, 2023Biophysics

Evolution of a confluent gut epithelium under cyclic stretching

L. Geremie, E. Ilker, M. Bernheim-Dennery, C. Cavaniol, J.-L. Viovy, D. Matic Vignjevic, J.-F. Joanny, S. Descroix

This study examines how cyclic stretching affects intestinal epithelial cell orientation using Caco-2 cells on PDMS substrates, revealing a perpendicular alignment response and modeling it with a vertex model.

bioRxiv · Jul 10, 2021Biophysics

Shortcuts in stochastic systems and control of biophysical processes

E. Ilker, O. Güngör, B. Kuznets-Speck, J. Chiel, S. Deffner, M. Hinczewski

This paper applies counterdiabatic driving to control stochastic biochemical processes, demonstrating both global and local control strategies in biological systems.

bioRxiv · Jun 13, 2021Biophysics

Controlling the speed and trajectory of evolution with counterdiabatic driving

S. Iram, E. Dolson, J. Chiel, J. Pelesko, N. Krishnan, O. Güngör, B. Kuznets-Speck, S. Deffner, E. Ilker, J. G. Scott, M. Hinczewski

This paper introduces a method to control evolutionary speed and trajectory using counterdiabatic driving, with applications in disease treatment and climate adaptation.

bioRxiv · Jun 4, 2020Evolutionary Biology

Modeling the growth of organisms validates a general relation between metabolic costs and natural selection

E. Ilker, M. Hinczewski

The paper validates a hypothesis linking metabolic costs to natural selection by developing a generalized growth model and testing it across unicellular and multicellular organisms.

bioRxiv · May 10, 2019Evolutionary Biology