Molecular docking is the most frequently used computational method for studying the interactions between organic molecules and biological macromolecules. In this context, docking allows predicting the preferred pose of a ligand inside a receptor binding site. However, the selection of the “best” solution is not a trivial task, despite the widely accepted selection criterion that the best pose corresponds to the best energy score. Here, several rigid-target docking methods were evaluated on the same dataset with respect to their ability to reproduce crystallographic binding orientations, to test if the best energy score is a reliable criterion for selecting the best solution. For this, two experiments were performed: (A) to recon...
Prediction of the bound configuration of small-molecule ligands that differ substantially from the c...
Prediction of the bound configuration of small-molecule ligands that differ substantially from the c...
Efficient drug discovery programs can be designed by utilizing existing pools of knowledge from the ...
Abstract Background In drug design, an efficient structure-based optimization of a ligand needs the ...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
Molecular docking is a computational tool commonly applied in drug discovery projects and fundament...
Molecular docking is a computational tool commonly applied in drug discovery projects and fundament...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
Background: Molecular docking is probably the most popular and profitable approach in computer-aided...
Background: Molecular docking is probably the most popular and profitable approach in computer-aided...
Background: Molecular docking is probably the most popular and profitable approach in computer-aided...
Prediction of the bound configuration of small-molecule ligands that differ substantially from the c...
Prediction of the bound configuration of small-molecule ligands that differ substantially from the c...
Prediction of the bound configuration of small-molecule ligands that differ substantially from the c...
Efficient drug discovery programs can be designed by utilizing existing pools of knowledge from the ...
Abstract Background In drug design, an efficient structure-based optimization of a ligand needs the ...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
Molecular docking is a computational tool commonly applied in drug discovery projects and fundament...
Molecular docking is a computational tool commonly applied in drug discovery projects and fundament...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
There is a tendency in the literature to be critical of scoring functions when docking programs perf...
Background: Molecular docking is probably the most popular and profitable approach in computer-aided...
Background: Molecular docking is probably the most popular and profitable approach in computer-aided...
Background: Molecular docking is probably the most popular and profitable approach in computer-aided...
Prediction of the bound configuration of small-molecule ligands that differ substantially from the c...
Prediction of the bound configuration of small-molecule ligands that differ substantially from the c...
Prediction of the bound configuration of small-molecule ligands that differ substantially from the c...
Efficient drug discovery programs can be designed by utilizing existing pools of knowledge from the ...