Ivanova, M. L., Nichols, M., Russo, N., Mihaylov, G., & Nikolic, K. (2025). Machine learning model leveraging SMILES-derived NMR spectroscopy data to predict dopamine D1 receptor antagonists: A prospective framework for forecasting the impact of engineered nanoparticles on the functionalities of small biomolecules.
Chicago-Zitierstil (17. Ausg.)Ivanova, Mariya L., Michael Nichols, Nicola Russo, Gueorgui Mihaylov, und Konstantin Nikolic. Machine Learning Model Leveraging SMILES-derived NMR Spectroscopy Data to Predict Dopamine D1 Receptor Antagonists: A Prospective Framework for Forecasting the Impact of Engineered Nanoparticles on the Functionalities of Small Biomolecules. 2025.
MLA-Zitierstil (9. Ausg.)Ivanova, Mariya L., et al. Machine Learning Model Leveraging SMILES-derived NMR Spectroscopy Data to Predict Dopamine D1 Receptor Antagonists: A Prospective Framework for Forecasting the Impact of Engineered Nanoparticles on the Functionalities of Small Biomolecules. 2025.