Combining Machine Learning and Molecular Dynamics to Predict P-Glycoprotein Substrates
Por um escritor misterioso
Last updated 09 novembro 2024
Pharmaceuticals, Free Full-Text
Biomolecular modeling thrives in the age of technology
Differences in ligand-induced protein dynamics extracted from an unsupervised deep learning approach correlate with protein–ligand binding affinities
Combining Machine Learning and Molecular Dynamics to Predict P-Glycoprotein Substrates
Accurate global machine learning force fields for molecules with hundreds of atoms
Pharmaceutics, Free Full-Text
Molecules, Free Full-Text
Modelling peptide–protein complexes: docking, simulations and machine learning, QRB Discovery
Frontiers In silico Approaches for the Design and Optimization of Interfering Peptides Against Protein–Protein Interactions
IJERPH, Free Full-Text
Shown are chemical structures of the 6 incorrectly predicted P-gp
Multisite model for P-glycoprotein drug binding. MOLCAD representation
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