AutoDock Vina

AutoDock Vina performs molecular docking and virtual screening to predict ligand binding modes and support drug discovery by scoring and ranking ligand–protein interactions.

Key Features:

• Molecular docking and virtual screening: Predicts ligand binding modes and ranks ligands for structure-based drug discovery studies.
• Computational efficiency: Achieves approximately two orders of magnitude increase in computational efficiency compared to AutoDock 4.
• Multithreading: Leverages multithreading on multicore machines to parallelize docking computations.
• Grid map calculation: Automatically calculates grid maps used for energy evaluations.
• Clustering of results: Clusters predicted poses to group and summarize binding-mode predictions.
• Validation and accuracy: Demonstrates improved accuracy in predicting binding modes when tested against the training set used in the development of AutoDock 4.

Scientific Applications:

• Virtual screening: High-throughput virtual screening to identify potential drug candidates.
• Binding-mode prediction: Prediction and analysis of ligand binding modes in ligand–protein complexes.
• Large-scale docking: Large-scale docking studies on multicore and high-performance computing environments.

Methodology:

Multithreaded docking on multicore machines; automatic grid map generation for energy evaluation; clustering of predicted poses; validation against the AutoDock 4 training set.