Hüseyin Tunç

Emailhuseyin.tuncbau.edutr

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Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 3 Good Health and Well-being

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Dive into the research topics where Hüseyin Tunç is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Artificial intelligence (ChatGPT) ready to evaluate ECG in real life? Not yet!
Çamkıran, V., Tunç, H., Achmar, B., Ürker, T. S., Kutlu, İ. & Torun, A., 1 Jan 2025, In: Digital Health. 11
Research output: Contribution to journal › Article › peer-review

Open Access
5 Citations (Scopus)
Deep learning aided surrogate modeling of the epidemiological models
Kurul, E., Tunc, H., Sari, M. & Guzel, N., Jan 2025, In: Journal of Computational Science. 84, 102470.
Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus)
Pharmacogenetic Testing for Predicting Methylphenidate Treatment Outcomes in Childhood Attention Deficit Hyperactivity Disorder in Turkey: Focus on Carboxylesterase 1, Latrophilin-3, and Catechol-O-Methyltransferase
Suzer Gamli, I., Van Veggel, A., Karaaslan, R. S., Kuerec, A. H., Marzoukah, Z., Adak, I., Bulut, G., Tunc, H., Hizel, C. P., Parlayan, C., Ekinci, O., Van Schaik, R. & Akin, D., Jul 2025, In: American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics. 198, 5, e33024.
Research output: Contribution to journal › Article › peer-review

Open Access
An efficient multi-derivative numerical method for chemical boundary value problems
Celik, E., Tunc, H. & Sari, M., Mar 2024, In: Journal of Mathematical Chemistry. 62, 3, p. 634-653 20 p.
Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus)
Developing Dynamic Structure-Based Pharmacophore and ML-Trained QSAR Models for the Discovery of Novel Resistance-Free RET Tyrosine Kinase Inhibitors Through Extensive MD Trajectories and NRI Analysis
Sayyah, E., Oktay, L., Tunc, H. & Durdagi, S., 17 Jun 2024, In: ChemMedChem. 19, 12, e202300644.
Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus)

Studies from Bahcesehir University Provide New Data on Multiple Sclerosis (Niraparib Demonstrates Therapeutic Potential in Multiple Sclerosis through Inhibition of IL-17A Receptor Interaction and Promotion of Remyelination)
Avsar, T., Durdaği, S. & Tunç, H.
22/09/25
1 item of Media coverage
Press/Media
Research Data from Yildiz Technical University Update Understanding of Pain and Central Nervous System (Mathematical Modeling of Ab-42 Dimerization Dynamics: Integrating Physics-Based Simulations, Graph-Based Variational Autoencoder-Driven ...)
Tunç, H.
16/09/25
1 item of Media coverage
Press/Media

Hüseyin Tunç

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Artificial intelligence (ChatGPT) ready to evaluate ECG in real life? Not yet!

Deep learning aided surrogate modeling of the epidemiological models

Pharmacogenetic Testing for Predicting Methylphenidate Treatment Outcomes in Childhood Attention Deficit Hyperactivity Disorder in Turkey: Focus on Carboxylesterase 1, Latrophilin-3, and Catechol-O-Methyltransferase

An efficient multi-derivative numerical method for chemical boundary value problems

Developing Dynamic Structure-Based Pharmacophore and ML-Trained QSAR Models for the Discovery of Novel Resistance-Free RET Tyrosine Kinase Inhibitors Through Extensive MD Trajectories and NRI Analysis

Studies from Bahcesehir University Provide New Data on Multiple Sclerosis (Niraparib Demonstrates Therapeutic Potential in Multiple Sclerosis through Inhibition of IL-17A Receptor Interaction and Promotion of Remyelination)

Research Data from Yildiz Technical University Update Understanding of Pain and Central Nervous System (Mathematical Modeling of Ab-42 Dimerization Dynamics: Integrating Physics-Based Simulations, Graph-Based Variational Autoencoder-Driven ...)

Hüseyin Tunç

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Artificial intelligence (ChatGPT) ready to evaluate ECG in real life? Not yet!

Deep learning aided surrogate modeling of the epidemiological models

Pharmacogenetic Testing for Predicting Methylphenidate Treatment Outcomes in Childhood Attention Deficit Hyperactivity Disorder in Turkey: Focus on Carboxylesterase 1, Latrophilin-3, and Catechol-O-Methyltransferase

An efficient multi-derivative numerical method for chemical boundary value problems

Developing Dynamic Structure-Based Pharmacophore and ML-Trained QSAR Models for the Discovery of Novel Resistance-Free RET Tyrosine Kinase Inhibitors Through Extensive MD Trajectories and NRI Analysis

Press/Media

Studies from Bahcesehir University Provide New Data on Multiple Sclerosis (Niraparib Demonstrates Therapeutic Potential in Multiple Sclerosis through Inhibition of IL-17A Receptor Interaction and Promotion of Remyelination)

Research Data from Yildiz Technical University Update Understanding of Pain and Central Nervous System (Mathematical Modeling of Ab-42 Dimerization Dynamics: Integrating Physics-Based Simulations, Graph-Based Variational Autoencoder-Driven ...)