Contents
Automated Docking 5
Introduction 5
Overview of the Method 6
Applications 7
What's New 9
Theory 11
Overview of the Free Energy Function 11
Grid Maps 13
Van der Waals Potential Energy 15
Modelling Hydrogen Bonds 20
A note on atom type codes: 21
Electrostatic Potential Grid Maps 22
Methodology 24
Getting Started... 24
Setting Up AutoGrid and AutoDock Jobs 25
Preparing the Ligand 26
Ligand Flexibility and Constraints 26
Using AutoTors to Define Torsions in the Ligand 28
Ligand is in PDBQ-format: 28
Ligand is in Mol2-format: 28
AutoTors Output: 28
AutoTors Flags: 29
Running AutoTors 30
Input Stage 31
Root Specification Stage 31
Torsions Detection and Selection Stage 31
Root Expansion and Output Stage 32
Adding Polar Hydrogens to the Macromolecule 32
Running AutoGrid 33
Flexible Docking with AutoDock 33
Monte Carlo Simulated Annealing 35
Genetic Algorithm and Evolutionary Programming Docking 36
Running AutoDock 37
Using the Command Mode in AutoDock 38
Trajectory Files 41
Evaluating the Results of a Docking 42
Visualizing Grid Maps 43
Visualizing Trajectories 43
Shell Scripts and Awk Programs 45
Parameters from AutoDock Version 1 56
AutoDock File Formats 57
Protein Data Bank with Partial Charges: PDBQ 57
PDBQ with Solvation Parameters: PDBQS 57
AutoGrid Grid Parameter File: GPF 58
AutoGrid Keywords and Commands 59
Grid Map File 61
Grid Map Field File 61
AutoDock Docking Parameter File: DPF 62
Command to set the seed for the random number generator 63
Parameters defining the grid maps to be used 63
Parameters defining the ligand and its initial state 64
Parameters defining ligand step sizes 65
Parameters defining optional ligand torsion constraints 66
Parameter affecting torsional free energy 67
Parameters for ligand internal energies 68
Parameters for simulated annealing searches 68
Parameter to set the amount of output 70
Parameters for trajectory output during SA dockings 70
Parameter for energies of atoms outside the grid 71
Parameter for initializing the ligand in SA 71
Parameters for cluster analysis of docked conformations 71
Parameters for re-clustering the results of several jobs 72
Parameters for genetic algorithm, Lamarckian GA and evolutionary programming searches 72
Command to set genetic algorithm parameters 73
Parameters for local search 74
Commands to choose and set the local search method 75
Commands to perform automated docking 75
Command to perform clustering of docked conformations 76
Example Parameter Files 77
AutoGrid GPF 77
AutoDock DPF 78
Example 1: Docking using Monte Carlo Simulated Annealing 78
Example 2: Clustering Many Dockings 79
Example 3: Docking Using the Lamarckian Genetic Algorithm (LGA) 80
AutoDock References 82
Primary References 82
AutoDock 3.0 82
AutoDock 2.4 82
AutoDock 1.0 83
Reviews of Applications 83
Selected Applications and Citations of AutoDock 83
Web publications 85