Exploring data-driven chemical SMILES tokenization approaches to identify key protein-ligand binding moieties.

MLA

Temizer, Asu Busra, et al. “Exploring Data-Driven Chemical SMILES Tokenization Approaches to Identify Key Protein-Ligand Binding Moieties.” Molecular Informatics, vol. 43, no. 3, Mar. 2024, p. e202300249. EBSCOhost, https://doi.org/10.1002/minf.202300249.

APA

Temizer, A. B., Uludoğan, G., Özçelik, R., Koulani, T., Ozkirimli, E., Ulgen, K. O., Karali, N., & Özgür, A. (2024). Exploring data-driven chemical SMILES tokenization approaches to identify key protein-ligand binding moieties. Molecular Informatics, 43(3), e202300249. https://doi.org/10.1002/minf.202300249

Chicago

Temizer, Asu Busra, Gökçe Uludoğan, Rıza Özçelik, Taha Koulani, Elif Ozkirimli, Kutlu O Ulgen, Nilgun Karali, and Arzucan Özgür. 2024. “Exploring Data-Driven Chemical SMILES Tokenization Approaches to Identify Key Protein-Ligand Binding Moieties.” Molecular Informatics 43 (3): e202300249. doi:10.1002/minf.202300249.