Lamim Ribeiro, J. M., Provasi, D., & Filizola, M. (2020). A combination of machine learning and infrequent metadynamics to efficiently predict kinetic rates, transition states, and molecular determinants of drug dissociation from G protein-coupled receptors. J Chem Phys.
Citación estilo ChicagoLamim Ribeiro, João Marcelo, Davide Provasi, y Marta Filizola. "A Combination of Machine Learning and Infrequent Metadynamics to Efficiently Predict Kinetic Rates, Transition States, and Molecular Determinants of Drug Dissociation From G Protein-coupled Receptors." J Chem Phys 2020.
Cita MLALamim Ribeiro, João Marcelo, Davide Provasi, y Marta Filizola. "A Combination of Machine Learning and Infrequent Metadynamics to Efficiently Predict Kinetic Rates, Transition States, and Molecular Determinants of Drug Dissociation From G Protein-coupled Receptors." J Chem Phys 2020.