Aliagas, I., Gobbi, A., Lee, M., & Sellers, B. D. (2022). Comparison of logP and logD correction models trained with public and proprietary data sets. Journal of Computer-Aided Molecular Design, 36(3), 253. https://doi.org/10.1007/s10822-022-00450-9
Chicago Style (17th ed.) CitationAliagas, Ignacio, Alberto Gobbi, Man-Ling Lee, and Benjamin D. Sellers. "Comparison of LogP and LogD Correction Models Trained with Public and Proprietary Data Sets." Journal of Computer-Aided Molecular Design 36, no. 3 (2022): 253. https://doi.org/10.1007/s10822-022-00450-9.
MLA (9th ed.) CitationAliagas, Ignacio, et al. "Comparison of LogP and LogD Correction Models Trained with Public and Proprietary Data Sets." Journal of Computer-Aided Molecular Design, vol. 36, no. 3, 2022, p. 253, https://doi.org/10.1007/s10822-022-00450-9.