Author

Berke Dilekoglu

Sabancı ÜniversitesiORCID 0000-0001-7918-5543Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Öznur TaştaniD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 25, 2023

SUMOnet: Deep Sequential Prediction of SUMOylation Sites

Berke Dilekoglu, Öznur Taştan

The paper introduces three deep learning models for predicting SUMOylation sites and reports that SUMOnet-3 outperforms existing methods with 75.8% AUPR and 87% AUC.

DOI 10.1101/2023.08.25.554749

protein sequencedeep learning

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