MCSS-based Predictions of Binding Mode and Selectivity of Nucleotide Ligands
Roy González‐Alemán, Nicolas Chevrollier, Manuel Simoes, Luís A. Montero, Fabrice Leclerc
The paper evaluates an MCSS-based docking approach for predicting binding modes and selectivity of nucleotide ligands, showing improved performance with hybrid solvent models and pose clustering.
Journal of Chemical Theory and Computation · Mar 25, 2021Peer-reviewedBioinformatics