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2020 – today
- 2023
[j8]A Samet Özdilek
, Ahmet Atakan, Gökhan Özsari, Aybar C. Acar, M. Volkan Atalay, Tunca Dogan, Ahmet Süreyya Rifaioglu:
ProFAB - open protein functional annotation benchmark. Briefings Bioinform. 24(2) (2023)- [j7]Alperen Dalkiran, Ahmet Atakan, Ahmet Süreyya Rifaioglu, Maria Jesus Martin, Rengül Çetin-Atalay, Aybar C. Acar, Tunca Dogan, Volkan Atalay:
Transfer learning for drug-target interaction prediction. Bioinform. 39(Supplement-1): 103-110 (2023) - [i1]Atabey Ünlü, Elif Çevrim, Ahmet Sarigün, Hayriye Çelikbilek, Heval Atas Güvenilir, Altay Koyas, Deniz Cansen Kahraman, Abdurrahman Olgaç, Ahmet Süreyya Rifaioglu, Tunca Dogan:
Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks. CoRR abs/2302.07868 (2023) - 2022
- [j6]Gökhan Özsari, Ahmet Süreyya Rifaioglu, Ahmet Atakan, Tunca Dogan, Maria Jesus Martin, Rengül Çetin-Atalay, Volkan Atalay:
SLPred: a multi-view subcellular localization prediction tool for multi-location human proteins. Bioinform. 38(17): 4226-4229 (2022) - 2021
- [j5]Ahmet Süreyya Rifaioglu, Rengül Çetin-Atalay, Deniz Cansen Kahraman, Tunca Dogan, Maria Jesus Martin, Volkan Atalay:
MDeePred: novel multi-channel protein featurization for deep learning-based binding affinity prediction in drug discovery. Bioinform. 37(5): 693-704 (2021) - 2020
- [b1]Ahmet Süreyya Rifaioglu:
Deep learning for prediction of drug-target interaction space and protein functions (İlaç-hedef protein etkileşim uzayı ve protein fonksiyonlarının tahmini için derin öğrenme). Middle East Technical University, Turkey, 2020 - [j4]Ataberk Donmez, Ahmet Süreyya Rifaioglu, Aybar C. Acar, Tunca Dogan, Rengül Çetin-Atalay, Volkan Atalay, Wren Jonathan:
iBioProVis: interactive visualization and analysis of compound bioactivity space. Bioinform. 36(14): 4227-4230 (2020) - [j3]Ataberk Donmez, Ahmet Süreyya Rifaioglu, Aybar C. Acar, Tunca Dogan, Rengül Çetin-Atalay, Volkan Atalay:
iBioProVis: interactive visualization and analysis of compound bioactivity space. Bioinform. 36(17): 4674 (2020)
2010 – 2019
- 2019
- [j2]Ahmet Süreyya Rifaioglu, Heval Atas, Maria Jesus Martin, Rengül Çetin-Atalay, Volkan Atalay, Tunca Dogan:
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases. Briefings Bioinform. 20(5): 1878-1912 (2019) - 2018
- [j1]Alperen Dalkiran, Ahmet Süreyya Rifaioglu, Maria Jesus Martin, Rengül Çetin-Atalay, Volkan Atalay, Tunca Dogan:
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature. BMC Bioinform. 19(1): 334:1-334:13 (2018) - 2015
- [c1]Ahmet Süreyya Rifaioglu, Tunca Dogan, Tolga Can:
Unsupervised identification of redundant domain entries in InterPro database using clustering techniques. BCB 2015: 505-506
Coauthor Index
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