Author

Fábio de Lima Hedayioglu

University of KentORCID 0000-0003-0609-0054Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Organism:fungi (other)· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Tobias von der HaariD· 2 shared Anne E. WillisiD· 1 shared Christopher Mark SmalesiD· 1 shared Dominique ChuiD· 1 shared Emma J Hargreaves· 1 shared James E. D. ThaventhiraniD· 1 shared Jérémie KalfoniD· 1 shared Sathishkumar KurusamyiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 21 mutual co-author links

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2 shared papersSystems Biology

Tobias von der HaarORCID

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2 papers

Recent·Most cited

Systems BiologyNucleic Acids ResearchPeer-reviewedOct 28, 2025

Near-cognate tRNAs dominate codon decoding times in simulated ribosomes

Fábio de Lima Hedayioglu, Emma J Hargreaves, Sathishkumar Kurusamy…·Tobias von der Haar

The paper develops a computational model to study codon decoding times, showing that near-cognate tRNAs significantly influence these times and validating the model against experimental data.

2 citations

proteomicsstatistical model

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BioinformaticsJournal of The Royal Society InterfacePeer-reviewedFeb 1, 2020

Hidden patterns of codon usage bias across kingdoms

Yun Deng, Fábio de Lima Hedayioglu, Jérémie Kalfon…·Tobias von der Haar

The paper develops a mathematical model to quantify codon usage bias across fungal and bacterial genomes, revealing taxonomic variation and implications for model organisms.

26 citations

fungi (other)bacteria (other)

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