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Table 3 Interacting agents, rule execution probabilities, and behavior

From: Agent-based modeling of competence phenotype switching in Bacillus subtilis

Rules

Interacting agents

Probability

Resulting action

bind

Repressor-Promoter

0.5

Repressor + Promoter

 

DegU-Promoter

0.5

DegU + Promoter

 

ComX-Promoter

0.5

ComX + Promoter

 

ComK-Promoter

0.5

ComK + Promoter

 

ComK-Promoter-DegU

0.8

ComK + Promoter + DegU

 

ComK-ComK

0.8

ComK + ComK

 

Ribosome-mRNA

0.9

Ribosome + mRNA

 

ClpC/ClpP + MecA-ComK

0.6

ClpC/ClpP + MecA + ComK

 

ClpC/ClpP + MecA-ComS

0.7

ClpC/ClpP + MecA + ComS

 

ClpP/ClpC-MecA

0.5

ClpC/ClpP + MecA

consumePeptide

Cell

0.8

New ComX

death

mRNA

0.0001

Remove mRNA

 

ClpC/ClpP + MecA + ComK/ComS

0.5

Remove ComK or

Remove ComS

 

Cell

0.0001

Remove Cell

dissociation

Repressor

0.0001

Repressor-Promoter

 

DegU

0.0001

DegU-Promoter

generatePeptide

Cell

0.8

 

Life

Cell

0.8

New Cell if not starving

 

Cell

0.0001

Remove Repressor if starving

Move

Cell

0.5

chemotaxis

Move

ComK, ComS, ComX, DegU, MecA, ClpC/ClpP, mRNA, Ribosome, Repressor

Random walk, see text

 

Shove

Cell

-

 

transcription

Promoter

0.0001

New mRNA

 

Promoter + ComK dimer

0.001

New mRNA

 

Promoter + ComK tertramer

0.5

New mRNA

 

Promoter + ComX

0.5

New mRNA

translation

Ribosome + mRNA

0.5

New ComK or

New ComS

  1. Agent-agent represents unbound neighboring agents, while agent + agent represents bound agents moving together.