PhD Student
Computational Drug Discovery

Licensed Pharmacist
M.Sc. Pharmaceutical Chemistry

E-Mail: mehmet.ali.yuecel@uni-muenster.de
Institute of Pharmaceutical and Medicinal Chemistry
Corrensstr. 48
48149 Münster

 

 

 

 

Research Topic

My research focuses on developing novel dual-acting anti-neuroinflammatory molecules using generative artificial intelligence (AI). Recently, the application of generative AI in drug design has gained significant prominence in medicinal chemistry. My work leverages these advanced AI tools to generate potential therapeutic molecules, complemented by the development of target-specific scoring functions to evaluate and optimize candidates. The primary focus is on molecules targeting the CB2R and HDACs for the treatment of neuroinflammation.

Publications

M. A. Yucel, E. Adal, M. B. Aktekin, C. Hepokur, N. Gambacorta, Prof. O. Nicolotti & Prof. O. Algul. From Deep Learning to the Discovery of Promising VEGFR-2 Inhibitors. ChemMedChem, 2024, 19(16), e202400108. https://doi.org/10.1002/cmdc.202400108

M. A. Yucel, I. Ozcelik, & O. Algul. Machine Learning Study: From the Toxicity Studies to Tetrahydrocannabinol Effects on Parkinson’s Disease. Future Medicinal Chemistry, 2023, 15(4), 365–377. https://doi.org/10.4155/fmc-2022-0181