LifeLU
Life Language Understanding Lab
We study proteins as sequences written in the language of life. Our research uncovers the basic units, structure, and meaning encoded in molecular sequences using advances in natural language processing and computational biology.
Recent Publications
STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
M. E. Akça, Gökçe Uludoğan, Arzucan Özgür and İ. M. Baytaş
arXiv preprint
BibTeX
@article{akca2025stargo,
title={STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings},
author={Akça, M. E. and Uludoğan, Gökçe and Özgür, Arzucan and Baytaş, İ. M.},
journal={arXiv preprint arXiv:2512.05245},
year={2025}
}
PUMA: Discovery of Protein Units via Mutation-Aware Merging
Burak Suyunu, Özdeniz Dolu, Ibukunoluwa A. Olaosebikan, Hacer K. Bristow and Arzucan Özgür
arXiv preprint
BibTeX
@article{suyunu2025puma,
title={PUMA: Discovery of Protein Units via Mutation-Aware Merging},
author={Suyunu, Burak and Dolu, Ozdeniz and Olaosebikan, Iyanuoluwa A. and Bristow, Hannah K. and Ozgur, Arzucan},
journal={arXiv preprint arXiv:2503.08838},
year={2025}
}
GNNMutation: a heterogeneous graph-based framework for cancer detection
Nuriye Özlem Özcan Şimşek, Arzucan Özgür and Fikret S. Gürgen
BMC Bioinformatics
BibTeX
@article{simsek2025gnnmutation,
title={GNNMutation: a heterogeneous graph-based framework for cancer detection},
author={Simsek, Nuriye Ozlem Ozcan and Ozgur, Arzucan and Gurgen, Fikret S.},
journal={BMC Bioinformatics},
volume={26},
pages={153},
year={2025},
publisher={BioMed Central}
}