Hinge, V. K., Roy, D., & Kovalenko, A. (2019). Prediction of P-glycoprotein inhibitors with machine learning classification models and 3D-RISM-KH theory based solvation energy descriptors. Journal of Computer-Aided Molecular Design, 33(11), 965. https://doi.org/10.1007/s10822-019-00253-5
Chicago Style (17th ed.) CitationHinge, Vijaya Kumar, Dipankar Roy, and Andriy Kovalenko. "Prediction of P-glycoprotein Inhibitors with Machine Learning Classification Models and 3D-RISM-KH Theory Based Solvation Energy Descriptors." Journal of Computer-Aided Molecular Design 33, no. 11 (2019): 965. https://doi.org/10.1007/s10822-019-00253-5.
MLA (9th ed.) CitationHinge, Vijaya Kumar, et al. "Prediction of P-glycoprotein Inhibitors with Machine Learning Classification Models and 3D-RISM-KH Theory Based Solvation Energy Descriptors." Journal of Computer-Aided Molecular Design, vol. 33, no. 11, 2019, p. 965, https://doi.org/10.1007/s10822-019-00253-5.