Publications 📃

(2024). Chemical Language Modeling with Structured State Space Sequence Models. S4.

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(2024). Deep learning for low-data drug discovery: hurdles and opportunities. Low-data Review.

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(2024). Building Efficient and Effective OpenQA Systems for Low-Resource Languages. squad-tr.

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(2024). Exploring Data‐Driven Chemical SMILES Tokenization Approaches to Identify Key Protein‐Ligand Binding Moieties. Interpreting CW.

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(2023). A Computational Software for Training Robust Drug-Target Affinity Prediction Models: pydebiaseddta. DebiasedDTA.

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(2022). Structure-based Drug Discovery with Deep Learning. SBDD Review.

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(2021). DebiasedDTA: A Framework for Improving the Generalizability of Drug-Target Affinity Prediction Models. DebiasedDTA.

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(2020). ChemBoost: A chemical language based approach for the prediction of protein - ligand binding affinity. ChemBoost.

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(2020). Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature. Vapur.

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(2020). Data and Representation for Turkish Natural Language Inference. NLI-TR.

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(2019). User Interface for Turkish Word Network KeNet. KeNet.

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(2019). User Interfaces for Turkish Natural Language Processing. Nlptoolkit.

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(2018). Data Set Generation for Analysis of Turkish Semantic and Sentence Similarity. Data Set Generation for Analysis of Turkish Semantic and Sentence Similarity.

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