Ahmet Süreyya Rifaioğlu

Heidelberg University — Germany

Computer Science · Physical Sciences

14h-index2.0kcitations39works2.42yr avg
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Research Topics

Computational Drug Discovery Methods(17), Bioinformatics and Genomic Networks(10), Machine Learning in Bioinformatics(9), Genomics and Phylogenetic Studies(7), Protein Structure and Dynamics(7)

Publications39 total

DTA-GNN: A Toolkit for Constructing Target-specific Drug–Target Affinity Datasets and Training Graph Neural Networks
SSRN Electronic Journal·2026Open Access
SpaCEy: Discovery of Functional Spatial Tissue Patterns by Association with Clinical Features Using Explainable Graph Neural Networks
2025Open Access
SpaCEy
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
SpaCEy
Zenodo (CERN European Organization for Nuclear Research)·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
A spatiotemporal cancer cell trajectory underlies glioblastoma heterogeneity
2025· 6 cited
Author Correction: Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineage
Nature Communications·2024· 1 citedOpen Access
Drug Repurposing Approach to Identify Candidate Drug Molecules for Hepatocellular Carcinoma
International Journal of Molecular Sciences·2024· 2 citedOpen Access
Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineage
Nature Communications·2024· 14 citedOpen Access
Transfer learning for drug–target interaction prediction
Bioinformatics·2023· 55 citedOpen Access
Target Specific De Novo Design of Drug Candidate Molecules with Graph Transformer-based Generative Adversarial Networks
arXiv (Cornell University)·2023· 4 citedOpen Access
ProFAB—open protein functional annotation benchmark
Briefings in Bioinformatics·2023· 1 citedOpen Access
Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineage
2022· 6 citedOpen Access
SLPred: a multi-view subcellular localization prediction tool for multi-location human proteins
Bioinformatics·2022· 7 cited
Data Centric Molecular Analysis and Evaluation of Hepatocellular Carcinoma Therapeutics Using Machine Intelligence-Based Tools
Journal of Gastrointestinal Cancer·2021· 2 cited
Predicting the Specificity- Determining Positions of Receptor Tyrosine Kinase Axl
Frontiers in Molecular Biosciences·2021· 8 citedOpen Access
CROssBAR: comprehensive resource of biomedical relations with knowledge graph representations
Nucleic Acids Research·2021· 40 citedOpen Access
Crowdsourced mapping of unexplored target space of kinase inhibitors
Nature Communications·2021· 88 citedOpen Access
Predicting the Specificity-Determining Positions of Paralogous Complexes
2021· 1 citedOpen Access
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Frequent Co-authors

Tunca Doğan(28), Rengül Çetin-Atalay(24), Volkan Atalay(24), María Martin(17), Rabie Saidi(7), Aybar C. Acar(7), Heval Ataş(6), Ahmet Atakan(6), Alperen Dalkıran(5), Esra Nalbat(5), Julio Sáez-Rodríguez(5), Deniz Kahraman(4), Vishal Joshi(4), Andrew Nightingale(4), Hermann Zellner(4), George P. Georghiou(3), Vladimir Volynkin(3), David R. Ghasemi(3), Konstantin Okonechnikov(3), Anne Rademacher(3)