Stebėti
Hakime Öztürk
Hakime Öztürk
EMBL
Patvirtintas el. paštas embl.de - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
DeepDTA: Deep Drug-Target Binding Affinity Prediction
H Öztürk, E Ozkirimli, A Özgür
Bioinformatics 34 (17), i821–i829, 2018
13092018
WideDTA: prediction of drug-target binding affinity
H Öztürk, E Ozkirimli, A Özgür
arXiv preprint arXiv:1902.04166, 2019
2382019
BIOSSES: a semantic sentence similarity estimation system for the biomedical domain
G Soğancıoğlu, H Öztürk, A Özgür
Bioinformatics 33 (14), i49-i58, 2017
1962017
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
1642020
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
1472016
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
1082015
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
752021
A novel methodology on distributed representations of proteins using their interacting ligands
H Öztürk, E Ozkirimli, A Özgür
Bioinformatics 34 (13), i295–i303, 2018
462018
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
382017
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
37*2021
CNN-based Chemical-Protein Interactions Classification
A Yüksel, H Öztürk, E Ozkirimli, A Özgür
Proceedings of the BioCreative VI Workshop, Bethesda, MD, 2017
122017
Integration of variant annotations using deep set networks boosts rare variant association testing
B Clarke, E Holtkamp, H Öztürk, M Mück, M Wahlberg, K Meyer, ...
Nature Genetics, 1-10, 2024
52024
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
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