Prof. Dr. TUNCA DOĞAN | AVESİS

Akademik Veri Yönetim Sistemi

Yayınlar & Eserler

Makaleler 47

1. DTA-GNN: a toolkit for constructing target-specific drug–target affinity datasets and training graph neural networks

Özsari G., Rifaioğlu A. S., ACAR A. C., DOĞAN T., ATALAY M. V.

SoftwareX , cilt.34, 2026 (SCI-Expanded, Scopus)

2. Target-specific de novo design of drug candidate molecules with graph-transformer-based generative adversarial networks

Nature Machine Intelligence , cilt.7, sa.9, ss.1-17, 2025 (SCI-Expanded)

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3. Mpox: disease manifestations and therapeutic development

Wang Y., Wang X., DOĞAN T., Sam-Agudu N. A., Al-Tawfiq J. A., Pan Q.

JOURNAL OF VIROLOGY , 2025 (SCI-Expanded, Scopus)

4. Protein language models for predicting drug-target interactions: Novel approaches, emerging methods, and future directions

Unlu A., Ulusoy E., Yigit M. G., Darcan M., DOĞAN T.

CURRENT OPINION IN STRUCTURAL BIOLOGY , 2025 (SCI-Expanded, Scopus)

5. Design, synthesis, and evaluation of novel Indole-Based small molecules as sirtuin inhibitors with anticancer activities

BINARCI B., Kilic E. K., DOĞAN T., ATALAY R., KAHRAMAN D. C., BAYTAŞ S.

DRUG DEVELOPMENT RESEARCH , cilt.85, sa.7, 2024 (SCI-Expanded, Scopus)

6. Mutual annotation-based prediction of protein domain functions with Domain2GO

Ulusoy E., DOĞAN T.

PROTEIN SCIENCE , cilt.33, sa.6, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Sürdürülebilir Kalkınma

7. An integrative framework for clinical diagnosis and knowledge discovery from exome sequencing data

Shojaei M., Mohammadvand N., DOĞAN T., Alkan C., Çetin Atalay R., ACAR A.

Computers in Biology and Medicine , cilt.169, 2024 (SCI-Expanded, Scopus)

8. How to approach machine learning-based prediction of drug/compound–target interactions

Atas Guvenilir H., DOĞAN T.

Journal of Cheminformatics , cilt.15, sa.1, 2023 (SCI-Expanded, Scopus)

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9. Democratizing knowledge representation with BioCypher

Lobentanzer S., Aloy P., Baumbach J., Bohar B., Carey V. J., Charoentong P., et al.

Nature Biotechnology , cilt.41, sa.8, ss.1056-1059, 2023 (SCI-Expanded, Scopus)

10. Transfer learning for drug-target interaction prediction

DALKIRAN A., ATAKAN A., Rifaioğlu A. S., Martin M. J., Atalay R. Ç., ACAR A., et al.

Bioinformatics (Oxford, England) , cilt.39, sa.39, 2023 (Scopus)

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11. SELFormer: molecular representation learning via SELFIES language models

Yüksel A., Ulusoy E., Ünlü A., DOĞAN T.

Machine Learning: Science and Technology , cilt.4, sa.2, 2023 (SCI-Expanded, Scopus)

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12. ProFAB-open protein functional annotation benchmark

Özdilek A. S., ATAKAN A., ÖZSARI G., Acar A., ATALAY M. V., DOĞAN T., et al.

Briefings in bioinformatics , cilt.24, sa.2, 2023 (SCI-Expanded, Scopus)

13. UniProt: the Universal Protein Knowledgebase in 2023

Bateman A., Martin M., Orchard S., Magrane M., Ahmad S., Alpi E., et al.

Nucleic Acids Research , cilt.51, sa.D1, 2023 (SCI-Expanded, Scopus)

14. ASCARIS: Positional feature annotation and protein structure-based representation of single amino acid variations

Cankara F., DOĞAN T.

Computational and Structural Biotechnology Journal , cilt.21, ss.4743-4758, 2023 (SCI-Expanded, Scopus)

15. SLPred: a multi-view subcellular localization prediction tool for multi-location human proteins

ÖZSARI G., RİFAİOĞLU A. S., ATAKAN A., Tunca Dogan T., Martin M. J., ATALAY R., et al.

BIOINFORMATICS , cilt.38, sa.17, ss.4226-4229, 2022 (SCI-Expanded, Scopus)

16. Learning functional properties of proteins with language models

Unsal S., Atas H., Albayrak M., Turhan K., Acar A. C., Doğan T.

NATURE MACHINE INTELLIGENCE , cilt.4, sa.3, ss.227-245, 2022 (SCI-Expanded)

17. Machine learning-based prediction of drug approvals using molecular, physicochemical, clinical trial, and patent-related features

Ciray F., DOĞAN T.

Expert Opinion on Drug Discovery , cilt.17, sa.12, ss.1425-1441, 2022 (SCI-Expanded, Scopus)

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Sürdürülebilir Kalkınma

18. Data Centric Molecular Analysis and Evaluation of Hepatocellular Carcinoma Therapeutics Using Machine Intelligence-Based Tools

Cetin-Atalay R., Kahraman D. C., Nalbat E., Rifaioğlu A. S., Atakan A., Dönmez A., et al.

JOURNAL OF GASTROINTESTINAL CANCER , cilt.52, sa.4, ss.1266-1276, 2021 (Hakemli Dergi)

19. A crowdsourcing open platform for literature curation in UniProt

Wang Y., Wang Q., Huang H., Huang W., Chen Y., McGarvey P. B., et al.

PLOS BIOLOGY , cilt.19, sa.12, 2021 (SCI-Expanded, Scopus)

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20. Editorial: Machine Learning Methodologies to Study Molecular Interactions

Yakimovich A., oezguer A., DOĞAN T., Ozkirimli E.

FRONTIERS IN MOLECULAR BIOSCIENCES , cilt.8, 2021 (SCI-Expanded, Scopus)

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21. Protein domain-based prediction of drug/compound-target interactions and experimental validation on LIM kinases

Doğan T., Guzelcan E., Baumann M., Koyas A., Atas H., Baxendale I., et al.

PLOS COMPUTATIONAL BIOLOGY , cilt.17, sa.11, 2021 (SCI-Expanded)

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22. CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations

Doğan T., Atas H., Joshi V., Atakan A., Rifaioğlu A. S., Nalbat E., et al.

NUCLEIC ACIDS RESEARCH , cilt.49, sa.16, 2021 (SCI-Expanded)

23. Crowdsourced mapping of unexplored target space of kinase inhibitors

Cichonska A., Ravikumar B., Allaway R. J., Wan F., Park S., Isayev O., et al.

NATURE COMMUNICATIONS , cilt.12, sa.1, 2021 (SCI-Expanded, Scopus)

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24. MDeePred: novel multi-channel protein featurization for deep learning-based binding affinity prediction in drug discovery

Rifaioglu A. S., Atalay R. C., KAHRAMAN D. C., DOĞAN T., Martin M., Atalay V.

BIOINFORMATICS , cilt.37, sa.5, ss.693-704, 2021 (SCI-Expanded, Scopus)

25. UniProt: the universal protein knowledgebase in 2021

Bateman A., Martin M., Orchard S., Magrane M., Agivetova R., Ahmad S., et al.

NUCLEIC ACIDS RESEARCH , cilt.49, sa.D1, 2021 (SCI-Expanded, Scopus)

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Sürdürülebilir Kalkınma

26. iBioProVis: interactive visualization and analysis of compound bioactivity space

DÖNMEZ A., RİFAİOĞLU A. S., ACAR A. C., DOĞAN T., ATALAY R., ATALAY M. V.

BIOINFORMATICS , cilt.36, sa.14, ss.4227-4230, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

Sürdürülebilir Kalkınma

27. DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representations

Rifaioğlu A. S., Nalbat E., Atalay V., Martin M. J., Cetin-Atalay R., Doğan T.

CHEMICAL SCIENCE , cilt.11, sa.9, ss.2531-2557, 2020 (SCI-Expanded)

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28. The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Zhou N., Jiang Y., Bergquist T. R., Lee A. J., Kacsoh B. Z., Crocker A. W., et al.

GENOME BIOLOGY , cilt.20, sa.1, 2019 (SCI-Expanded, Scopus)

29. FAIR adoption, assessment and challenges at UniProt

Garcia L., Bolleman J., Gehant S., Redaschi N., Martin M., Bateman A., et al.

SCIENTIFIC DATA , cilt.6, 2019 (SCI-Expanded, Scopus)

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30. Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases

Rifaioğlu A. S., Atas H., Martin M. J., Cetin-Atalay R., Atalay V., Dogan T.

BRIEFINGS IN BIOINFORMATICS , cilt.20, sa.5, ss.1878-1912, 2019 (SCI-Expanded)

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31. DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks

Rifaioğlu A. S., Doğan T., Martin M. J., Cetin-Atalay R., Atalay V.

SCIENTIFIC REPORTS , cilt.9, 2019 (SCI-Expanded)

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32. UniProt: a worldwide hub of protein knowledge

Bateman A., Martin M., Orchard S., Magrane M., Alpi E., Bely B., et al.

NUCLEIC ACIDS RESEARCH , cilt.47, 2019 (SCI-Expanded, Scopus)

33. ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature

Dalkiran A., Rifaioğlu A. S., Martin M. J., Cetin-Atalay R., Atalay V., Dogan T.

BMC BIOINFORMATICS , cilt.19, 2018 (SCI-Expanded)

34. HPO2GO: prediction of human phenotype ontology term associations for proteins using cross ontology annotation co-occurrences

PEERJ , cilt.6, 2018 (SCI-Expanded) Sürdürülebilir Kalkınma

Sürdürülebilir Kalkınma

35. Large-scale automated function prediction of protein sequences and an experimental case study validation on PTEN transcript variants

Rifaioğlu A. S., Dogan T., Sarac O. S., Ersahin T., Saidi R., Atalay M. V., et al.

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS , cilt.86, sa.2, ss.135-151, 2018 (SCI-Expanded)

36. Phylogenetic and Other Conservation-Based Approaches to Predict Protein Functional Sites

Atas H., Tunçbağ N., Doğan T.

COMPUTATIONAL DRUG DISCOVERY AND DESIGN , cilt.1762, ss.51-69, 2018 (SCI-Expanded)

37. A Structural Perspective on the Modulation of Protein-protein Interactions with Small Molecules

Demirel H. C., Dogan T., TUNÇBAĞ N.

CURRENT TOPICS IN MEDICINAL CHEMISTRY , cilt.18, sa.8, ss.700-713, 2018 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

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38. On expert curation and scalability: UniProtKB/Swiss-Prot as a case study

Poux S., Arighi C. N., Magrane M., Bateman A., Wei C., Lu Z., et al.

BIOINFORMATICS , cilt.33, sa.21, ss.3454-3460, 2017 (SCI-Expanded, Scopus)

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39. From the research laboratory to the database: the Caenorhabditis elegans kinome in UniProtKB

Zaru R., Magrane M., O'Donovan C., Bateman A., Martin M. J., Alpi E., et al.

BIOCHEMICAL JOURNAL , cilt.474, ss.493-515, 2017 (SCI-Expanded, Scopus)

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40. UniProt: the universal protein knowledgebase

Bateman A., Martin M. J., O'Donovan C., Magrane M., Alpi E., Antunes R., et al.

NUCLEIC ACIDS RESEARCH , cilt.45, 2017 (SCI-Expanded, Scopus)

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41. An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Jiang Y., Oron T. R., Clark W. T., Bankapur A. R., D'Andrea D., Lepore R., et al.

GENOME BIOLOGY , cilt.17, 2016 (SCI-Expanded, Scopus)

42. UniProt-DAAC: domain architecture alignment and classification, a new method for automatic functional annotation in UniProtKB

Doğan T., Macdougall A., Saidi R., Poggioli D., Bateman A., O'donovan C., et al.

BIOINFORMATICS , cilt.32, sa.15, ss.2264-2271, 2016 (SCI-Expanded)

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43. The UniProtKB guide to the human proteome

Breuza L., Poux S., Estreicher A., Famiglietti M. L., Magrane M., Tognolli M., et al.

DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION , 2016 (SCI-Expanded, Scopus)

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44. Tools and data services registry: a community effort to document bioinformatics resources

Ison J., Rapacki K., Menager H., Kalas M., Rydza E., Chmura P., et al.

NUCLEIC ACIDS RESEARCH , cilt.44, 2016 (SCI-Expanded, Scopus)

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45. UniProt: a hub for protein information

Bateman A., Martin M. J., O'Donovan C., Magrane M., Apweiler R., Alpi E., et al.

NUCLEIC ACIDS RESEARCH , cilt.43, 2015 (SCI-Expanded, Scopus)

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46. Activities at the Universal Protein Resource (UniProt)

Apweiler R., Bateman A., Martin M. J., O'Donovan C., Magrane M., Alam-Faruque Y., et al.

NUCLEIC ACIDS RESEARCH , cilt.42, 2014 (SCI-Expanded, Scopus)

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47. Automatic Identification of Highly Conserved Family Regions and Relationships in Genome Wide Datasets Including Remote Protein Sequences

Doğan T., Karacali B.

PLOS ONE , cilt.8, sa.9, 2013 (SCI-Expanded)

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Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 4

1. In vitro validation of drug-target interactions revealed in silico by Comprehensive Resource of Biomedical Relations with Network Representations and Deep Learning (CROssBAR) in HCC

NALBAT E., Rifaioglu A. S., DOĞAN T., Martin M. J., Cetin-Atalay R., ATALAY M. V.

AACR Annual Meeting, ELECTR NETWORK, 22 - 24 Haziran 2020, cilt.80, (Özet Bildiri)

2. Unsupervised identification of redundant domain entries in InterPro database using clustering techniques

RİFAİOĞLU A. S., Doǧan T., CAN T.

6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2015, Georgia, Amerika Birleşik Devletleri, 9 - 12 Eylül 2015, ss.505-506, (Tam Metin Bildiri)

3. 2-D thresholding of the connectivity map following the multiple sequence alignments of diverse datasets

Doǧan T., Karaçali B.

10th IASTED International Conference on Biomedical Engineering, BioMed 2013, Innsbruck, Avusturya, 13 - 15 Şubat 2013, ss.1-8, (Tam Metin Bildiri)

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4. Evolutionary relationships between gene sequences via nonlinear embedding Doǧrusal olmayan gömme teknikleri altinda gen dizilerinin evrimsel i̇lişkileri

Doǧan T., Karaçcali B.

2010 15th National Biomedical Engineering Meeting, BIYOMUT2010, Antalya, Türkiye, 21 - 24 Nisan 2010, (Tam Metin Bildiri)

Metrikler

Yayın

52

Yayın (WoS)

48

Yayın (Scopus)

48

Atıf (WoS)

21229

H-İndeks (WoS)

24

Atıf (Scopus)

27705

H-İndeks (Scopus)

26

Atıf (Scholar)

39467

H-İndeks (Scholar)

27

Proje

17

Fikri Mülkiyet

1

Açık Erişim

24

BM Sürdürülebilir Kalkınma Amaçları