| DeepDTA: Deep Drug-Target Binding Affinity Prediction H Öztürk, E Ozkirimli, A Özgür Bioinformatics 34 (17), i821–i829, 2018 | 1024 | 2018 |
| BIOSSES: a semantic sentence similarity estimation system for the biomedical domain G Soğancıoğlu, H Öztürk, A Özgür Bioinformatics 33 (14), i49-i58, 2017 | 175 | 2017 |
| WideDTA: prediction of drug-target binding affinity H Öztürk, E Ozkirimli, A Özgür arXiv preprint arXiv:1902.04166, 2019 | 172 | 2019 |
| A comparative study of SMILES-based compound similarity functions for drug-target interaction prediction H Öztürk, E Ozkirimli, A Özgür BMC bioinformatics 17, 1-11, 2016 | 132 | 2016 |
| Exploring chemical space using natural language processing methodologies for drug discovery H Öztürk, A Özgür, P Schwaller, T Laino, E Ozkirimli Drug Discovery Today 25 (4), 689-705, 2020 | 123 | 2020 |
| Classification of beta-lactamases and penicillin binding proteins using ligand-centric network models H Öztürk, E Ozkirimli, A Özgür PloS one 10 (2), e0117874, 2015 | 103 | 2015 |
| Crowdsourced mapping of unexplored target space of kinase inhibitors A Cichońska, B Ravikumar, RJ Allaway, F Wan, S Park, O Isayev, S Li, ... Nature communications 12 (1), 3307, 2021 | 66 | 2021 |
| A novel methodology on distributed representations of proteins using their interacting ligands H Öztürk, E Ozkirimli, A Özgür Bioinformatics 34 (13), i295–i303, 2018 | 44 | 2018 |
| Construction of miRNA-miRNA networks revealing the complexity of miRNA-mediated mechanisms in trastuzumab treated breast cancer cell lines EE Cilek, H Ozturk, B Gur Dedeoglu PloS one 12 (10), e0185558, 2017 | 35 | 2017 |
| Chemboost: A chemical language based approach for protein–ligand binding affinity prediction R Özçelik, H Öztürk, A Özgür, E Ozkirimli Molecular Informatics 40 (5), 2000212, 2021 | 30* | 2021 |
| CNN-based Chemical-Protein Interactions Classification A Yüksel, H Öztürk, E Ozkirimli, A Özgür Proceedings of the BioCreative VI Workshop, Bethesda, MD, 2017 | 10 | 2017 |
| Integration of variant annotations using deep set networks boosts rare variant association genetics B Clarke, E Holtkamp, H Öztürk, M Mück, M Wahlberg, K Meyer, ... bioRxiv, 2023.07. 12.548506, 2023 | | 2023 |
| Text-based Machine Learning Methodologies for Modelling Drug-Target Interactions H Öztürk Bogazici University, 2019 | | 2019 |
| Analysing Drug Targets Using Ligand Similarity H Öztürk Boğaziçi University, 2014 | | 2014 |
Arzucan OzgurDepartment of Computer Engineering, Bogazici University在 boun.edu.tr 的电子邮件经过验证
