Tunca Doğan

Institute of Informatics of the Slovak Academy of Sciences — SK

Biochemistry, Genetics and Molecular Biology · Life Sciences

23h-index16.8kcitations81works1.92yr avg
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Research Topics

Machine Learning in Bioinformatics(37), Computational Drug Discovery Methods(30), Bioinformatics and Genomic Networks(29), Genomics and Phylogenetic Studies(16), Protein Structure and Dynamics(16)

Publications81 total

AI-driven discovery of antiretroviral drug bictegravir and etravirine as inhibitors against monkeypox and related poxviruses
Communications Biology·2025· 1 citedOpen Access
OmniPath: integrated knowledgebase for multi-omics analysis
Nucleic Acids Research·2025· 4 citedOpen Access
ECLIPSE: Exploration of Complex Ligand-Protein Interactions through Learning from Systems-level Heterogeneous Biomedical Knowledge Graphs
2025Open Access
Molecular Contrastive Learning with Graph Attention Network (MoCL-GAT) for Enhanced Molecular Representation
2025
Target-specific de novo design of drug candidate molecules with graph-transformer-based generative adversarial networks
Nature Machine Intelligence·2025· 1 citedOpen Access
OmniPath: integrated knowledgebase for multi-omics analysis
2025Open Access
Mpox: disease manifestations and therapeutic development
Journal of Virology·2025· 2 citedOpen Access
ChemPile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models
arXiv (Cornell University)·2025· 1 citedOpen Access
ProtHGT: Heterogeneous Graph Transformers for Automated Protein Function Prediction Using Biological Knowledge Graphs and Language Models
2025Open Access
A Benchmarking Platform for Assessing Protein Language Models on Function-related Prediction Tasks
2025Open Access
Protein language models for predicting drug–target interactions: Novel approaches, emerging methods, and future directions
Current Opinion in Structural Biology·2025· 7 citedOpen Access
A Benchmarking Platform for Assessing Protein Language Models on Function-Related Prediction Tasks
Methods in molecular biology·2025
Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data Setting
arXiv (Cornell University)·2024· 1 citedOpen Access
Design, synthesis, and evaluation of novel Indole‐Based small molecules as sirtuin inhibitors with anticancer activities
Drug Development Research·2024· 5 citedOpen Access
Mutual annotation‐based prediction of protein domain functions with <scp>Domain2GO</scp>
Protein Science·2024· 7 citedOpen Access
Perspectives on tracking data reuse across biodata resources
Bioinformatics Advances·2024· 2 citedOpen Access
An integrative framework for clinical diagnosis and knowledge discovery from exome sequencing data
Computers in Biology and Medicine·2023Open Access
Democratizing knowledge representation with BioCypher
Nature Biotechnology·2023· 61 citedOpen Access
Transfer learning for drug–target interaction prediction
Bioinformatics·2023· 55 citedOpen Access
SELFormer: molecular representation learning via SELFIES language models
Machine Learning Science and Technology·2023· 56 citedOpen Access
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Frequent Co-authors

María Martin(23), Ahmet Süreyya Rifaioğlu(21), Rengül Çetin-Atalay(20), Volkan Atalay(18), Rabie Saidi(13), Heval Ataş(10), Alex Bateman(9), Michele Magrane(8), Vishal Joshi(8), Nicole Redaschi(8), Sébastien Géhant(8), Paul Denny(7), Alexandr Ignatchenko(7), Giuseppe Insana(7), Alan Bridge(7), Delphine Baratin(7), Jerven Bolleman(7), Elisabeth Coudert(7), Elisabeth Gasteiger(7), Aybar C. Acar(7)