Author

Ramazan Gökberk Cinbiş

Middle East Technical UniversityORCID 0000-0003-0962-7101Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Öznur TaştaniD· 2 shared A. Ercüment ÇiçekiD· 1 shared Emine Ayşe SunariD· 1 shared Mert Pekey· 1 shared Onur Can ÜneriD· 1 shared Zeynep Işık· 1 shared

Activity by Year

2019-2025 · peak 1/yr

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6 top collaborators · 9 mutual co-author links

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2 shared papersBioinformatics

Öznur TaştanORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedAug 28, 2025

DARKIN: A zero-shot benchmark for phosphosite-dark kinase association using protein language models

Emine Ayşe Sunar, Zeynep Işık, Mert Pekey…·Öznur Taştan

DARKIN evaluates phosphosite-dark kinase associations using zero-shot classification with protein language models, showing ESM, ProtT5-XL, and SaProt perform best.

DOI 10.1093/bioinformatics/btaf480

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 18, 2019

DeepSide: A Deep Learning Framework for Drug Side Effect Prediction

Onur Can Üner, Ramazan Gökberk Cinbiş, Öznur Taştan, A. Ercüment Çiçek

This study introduces DeepSide, a deep learning framework for drug side effect prediction, showing improved performance using drug chemical structure and gene expression data.

26 citations

deep learningdrug response / drug discovery

𝕏 PostBluesky