Author

İrem Yılmazbilek

Izmir Biomedicine and Genome CenterORCID 0009-0002-6715-6192Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Assay:long-read sequencing· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Research Focus:transcription & RNA processing· 1

Frequent Co-Authors

Ezgi KaracaiD· 2 shared Atakan ÖzsaniD· 1 shared Ayşe Elif Erson-BensaniD· 1 shared Büşra SavaşiD· 1 shared Deniz KaragozogluiD· 1 shared Didem Naz DiokeniD· 1 shared Elanur AlmericiD· 1 shared Esra ÇiçekiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCancer Biology

Ezgi KaracaORCID

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2 papers

Recent·Most cited

E2-Regulated Transcriptome Complexity Revealed by Long-Read Direct RNA Sequencing: From Isoform Discovery to Truncated Proteins

Didem Naz Dioken, İbrahim Ozgul, İrem Yılmazbilek, Elanur Almeric, Irem Cemile Eroglu, Mustafa Çiçek, Utku Cem Yilmaz, Deniz Karagozoglu, Esra Çiçek, Ezgi Karaca, Tolga Can, Ayşe Elif Erson-Bensan

This study uses long-read RNA sequencing to uncover E2-regulated transcriptome complexity, revealing novel isoforms and truncated proteins with functional implications in ER+ breast cancer.

RNA Biology · Sep 18, 2025Peer-reviewedCancer Biology

Towards a greener AlphaFold2 protocol for protein complex modeling: Insights from CAPRI Round 55

Büşra Savaş, İrem Yılmazbilek, Atakan Özsan, Ezgi Karaca

The paper applies enhanced AlphaFold2 sampling and data-driven docking to predict antibody-peptide and antibody-MHC I complexes, achieving medium-quality predictions for some targets.

Proteins Structure Function and Bioinformatics · Mar 3, 2025Peer-reviewedBioinformatics