Protein-ligand docking software tools | Interaction data analysis
Protein-ligand docking is a key computational method in the design of starting points for the drug discovery process.
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Permits to interactively visualize and analyse molecular structures and related data, including density maps, supramolecular assemblies, sequence alignments, docking results, trajectories, and conformational ensembles. UCSF Chimera allows users to incorporate new features. It contains some extensions which permits to visualize large-scale molecular assemblies such as viral coats, and allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions can be used for extend the tool capabilities.
A package which approximates a complete search of the conformational, orientational, and positional space of the ligand in a given receptor. Glide offers the full range of quick and accurate options, from the HTVS to the SP. It also provides virtual screening, accurate binding mode prediction and universal applicability. Comparisons to published data on RMS deviations show that Glide is nearly twice as accurate as GOLD and more than twice compared to FlexX. Glide is also found to be more accurate than the Surflex method.
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Allows molecular docking and virtual screening. AutoDock Vina is one of the two generations of distributions of AutoDock. This software uses a sophisticated gradient optimization method in its local optimization procedure. The calculation of the gradient effectively gives the optimization algorithm a “sense of direction” from a single evaluation. By using multithreading, this software can further speed up the execution by taking advantage of multiple CPUs or CPU cores.
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