AutoDock

AutoDock predicts binding modes and affinities of small molecules—such as substrates and drug candidates—to receptors with known three-dimensional structures for molecular docking and binding analysis.

Key Features:

• Grid-based docking: Uses a grid-based docking method to evaluate ligand–receptor interactions.
• Limited receptor flexibility: Incorporates limited flexibility within receptor structures during docking to accommodate conformational changes.
• Flexible sidechain handling: Employs a modified technique for flexible sidechain interactions during docking.
• Covalent ligand analysis: Supports analysis of covalently bound ligands.
• Redocking benchmark: Reproduced known binding poses in redocking experiments with 188 diverse ligand–protein complexes.
• Cross-docking tests: Performed cross-docking tests involving flexible sidechains on 87 HIV protease complexes.
• Small molecule support: Handles docking of small molecules, including substrates and drug candidates.

Scientific Applications:

• Binding pose and affinity prediction: Predicts ligand binding poses and relative affinities for small molecules and drug candidates to receptors with known 3D structures.
• Receptor flexibility assessment: Assesses effects of limited receptor and sidechain flexibility on docking outcomes.
• Covalent interaction analysis: Analyzes covalently bound ligand–receptor interactions and binding mechanisms.
• Docking validation and benchmarking: Benchmarks and validates docking protocols via redocking (188 complexes) and cross-docking (87 HIV protease complexes).
• Protein engineering support: Supports studies requiring modeling of ligand–receptor interactions for protein engineering.

Methodology:

Performs grid-based docking with incorporation of limited receptor flexibility and a modified technique for flexible sidechain interactions; validated by redocking (188 complexes) and cross-docking (87 HIV protease complexes).