Action: MAZE_RANDOM_WALK

Module	maze
Description	Usage
Fake optimizer that can be used for debugging.

Details and examples

Fake optimizer that can be used for debugging.

This is dummy optimizer that can be used for debugging and monitoring purposes. It returns a random direction of biasing, changed every OPTIMIZER_STRIDE.

Performs a random walk within the protein matrix.

Examples

Every optimizer implemented in the maze module needs a loss function as an argument, and it should be passed using the MAZE_LOSS keyword.

Click on the labels of the actions for more information on what each action computes

MAZE_RANDOM_WALKFake optimizer that can be used for debugging. More details ...
  LABELa label for the action so that its output can be referenced in the input to other actions=rwThe MAZE_RANDOM_WALK action with label rw calculates the following quantities:
 Quantity   
 Type   
 Description  
rw.x
scalar
Optimal biasing direction; x component.
rw.y
scalar
Optimal biasing direction; y component.
rw.z
scalar
Optimal biasing direction; z component.
rw.loss
scalar
Loss function value defined by the provided pairing function.
rw.sr
scalar
Sampling radius. Reduces sampling to the local proximity of the ligand position.

  LOSSLoss function describing ligand-protein interactions required by every optimizer=l
  OPTIMIZER_STRIDEOptimizer stride=200

  LIGANDIndices of ligand atoms=2635-2646
  PROTEINIndices of protein atoms=1-2634
... MAZE_RANDOM_WALK

As shown above, each optimizer should be provided with the LIGAND and the PROTEIN keywords.

Input

The atoms that serve as the input for this action are specified using one or more of the keywords in the following table.

Keyword	Type	Description
LIGAND	atoms	Indices of ligand atoms
PROTEIN	atoms	Indices of protein atoms

Output components

This action calculates the values in the following table. These values can be referenced elsewhere in the input by using this Action's label followed by a dot and the name of the value required from the list below.

Name	Type	Description
x	scalar	Optimal biasing direction; x component
y	scalar	Optimal biasing direction; y component
z	scalar	Optimal biasing direction; z component
loss	scalar	Loss function value defined by the provided pairing function
sr	scalar	Sampling radius

Full list of keywords

The following table describes the keywords and options that can be used with this action

Keyword	Type	Default	Description
LIGAND	input	none	Indices of ligand atoms
PROTEIN	input	none	Indices of protein atoms
OPTIMIZER_STRIDE	compulsory	none	Optimizer stride
NUMERICAL_DERIVATIVESThis keyword do not have examples	optional	false	calculate the derivatives for these quantities numerically
NOPBCThis keyword do not have examples	optional	false	ignore the periodic boundary conditions when calculating distances
SERIALThis keyword do not have examples	optional	false	Perform the simulation in serial -- used only for debugging purposes, should not be used otherwise
PAIRThis keyword do not have examples	optional	false	Pair only the 1st element of the 1st group with the 1st element in the second, etc
NLISTThis keyword do not have examples	optional	false	Use a neighbor list of ligand-protein atom pairs to speed up the calculating of the distances
NL_CUTOFFThis keyword do not have examples	optional	not used	Neighbor list cut-off for the distances of ligand-protein atom pairs
NL_STRIDEThis keyword do not have examples	optional	not used	Update stride for the ligand-protein atom pairs in the neighbor list
LOSS	optional	not used	Loss function describing ligand-protein interactions required by every optimizer