activity
20222026
most citedExploring Data-Driven Chemical SMILES Tokenization Approaches to Identify Key Protein-Ligand Binding Moieties

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Hate Speech Detection in Turkish and Arabic: A Comprehensive Study

Somaiyeh Dehghan, Gökçe Uludoğan, Mehmet Umut Şen +3

Online hate speech has been linked to a global rise in violence against minorities, including incidents such as mass shootings, lynchings, and ethnic cleansing. Societies grappling…

q-bio.BM2026

PUFFIN: Protein Unit Discovery with Functional Supervision

Gökçe Uludoğan, Buse Giledereli, Elif Ozkirimli +1

Proteins carry out biological functions through the coordinated action of groups of residues organized into structural arrangements. These arrangements, which we refer to as protei…

q-bio.BM2025

STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings

Mehmet Efe Akça, Gökçe Uludoğan, Arzucan Özgür +1

Accurate prediction of protein function is essential for elucidating molecular mechanisms and advancing biological and therapeutic discovery. Yet experimental annotation lags far b…

q-bio.BM2022★ 3 cited

Exploring Data-Driven Chemical SMILES Tokenization Approaches to Identify Key Protein-Ligand Binding Moieties

Asu Büşra Temizer, Gökçe Uludoğan, Rıza Özçelik +5

Machine learning models have found numerous successful applications in computational drug discovery. A large body of these models represents molecules as sequences since molecular…

cs.LG2022★ 1 cited

Exploiting Pretrained Biochemical Language Models for Targeted Drug Design

Gökçe Uludoğan, Elif Ozkirimli, Kutlu O. Ulgen +2

Motivation: The development of novel compounds targeting proteins of interest is one of the most important tasks in the pharmaceutical industry. Deep generative models have been ap…