Tunca Dogan
Tunca Dogan
Faculty member, Department of Computer Science & AI Engineering, Hacettepe University, Turkey
Verified email at - Homepage
Cited by
Cited by
UniProt: a worldwide hub of protein knowledge
UniProt Consortium
Nucleic acids research 47 (D1), D506-D515, 2019
UniProt: the universal protein knowledgebase
UP Consortium
Nucleic acids research 45 (D1), D158-D169, 2017
UniProt: the universal protein knowledgebase in 2021
UP Consortium
Nucleic acids research 49 (D1), D480-D489, 2021
UniProt: a hub for protein information
UniProt Consortium
Nucleic acids research 43 (D1), D204-D212, 2015
UniProt: the Universal Protein knowledgebase in 2023
Nucleic Acids Research 51 (D1), D523-D531, 2023
Activities at the universal protein resource (UniProt)
UniProt Consortium
Nucleic acids research 42 (D1), D191-D198, 2014
Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases
AS Rifaioglu, H Atas, MJ Martin, R Cetin-Atalay, V Atalay, T Doğan
Briefings in bioinformatics 20 (5), 1878–1912, 2019
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
Genome biology 17 (1), 1-19, 2016
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome Biology 20, 244, 2019
Tools and data services registry: a community effort to document bioinformatics resources
J Ison, K Rapacki, H Ménager, M Kalaš, E Rydza, P Chmura, C Anthon, ...
Nucleic acids research 44 (D1), D38-D47, 2016
DEEPScreen: High Performance Drug-Target Interaction Prediction with Convolutional Neural Networks Using 2-D Structural Compound Representations
A Rifaioglu, E Sinoplu, V Atalay, M Martin, R Cetin-Atalay, T Dogan
Chemical Science 11 (9), 2531-2557, 2020
The UniProtKB guide to the human proteome
L Breuza, S Poux, A Estreicher, ML Famiglietti, M Magrane, M Tognolli, ...
Database 2016, bav120, 2016
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature
A Dalkiran, AS Rifaioglu, MJ Martin, R Cetin-Atalay, V Atalay, T Doğan
BMC bioinformatics 19 (1), 1-13, 2018
DEEPred: automated protein function prediction with multi-task feed-forward deep neural networks
A Sureyya Rifaioglu, T Doğan, M Jesus Martin, R Cetin-Atalay, V Atalay
Scientific reports 9 (1), 7344, 2019
On expert curation and scalability: UniProtKB/Swiss-Prot as a case study
S Poux, CN Arighi, M Magrane, A Bateman, CH Wei, Z Lu, E Boutet, ...
Bioinformatics 33 (21), 3454-3460, 2017
A crowdsourcing open platform for literature curation in UniProt
Y Wang, Q Wang, H Huang, W Huang, Y Chen, PB McGarvey, CH Wu, ...
PLoS biology 19 (12), e3001464, 2021
Learning functional properties of proteins with language models
S Unsal, H Atas, M Albayrak, K Turhan, AC Acar, T Doğan
Nature Machine Intelligence 4 (3), 227-245, 2022
MDeePred: Novel Multi-Channel protein featurization for deep learning based binding affinity prediction in drug discovery
AS Rifaioglu, R Cetin Atalay, D Cansen Kahraman, T Doğan, M Martin, ...
Bioinformatics, btaa858, 2020
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), 1-18, 2021
UniProt-DAAC: domain architecture alignment and classification, a new method for automatic functional annotation in UniProtKB
T Doğan, A MacDougall, R Saidi, D Poggioli, A Bateman, C O’Donovan, ...
Bioinformatics 32 (15), 2264-2271, 2016
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