# Team:Waterloo/Modeling

### From 2009.igem.org

### Introduction

The grand object of modelling in this particular project was the determination of a finite deterministic sequence of attN sites and their enclosed operators that would allow one to predictably insert into a chromosome all of the desired sequences.

The form that the solution could take, we postulated would be a sequence of two or three plasmids such that each would contain at least one matching set of attN sites with the addition of several incomplete attN sites.

There were two general approaches used in modelling. Software development toward a top-down (inductive, brute force) solver has finished. Characterization of the algorithm underpinning the solver however revealed that the problem is NP-hard at least, and NP-complete at worse. An auxiliary approach was attempted whereupon we tried to map the sequence problem onto a known math problem with known solutions.

### Software

In order to run the solver, we had to make a few assumptions. First, as we do not know what combination of sequences with attN sites is part of the solution, we assume that any product in our search space is fair game for the next generation of reactions. We further assume that any plasmid with valid attN sites and complementary operators is capable of self reacting and also of reacting with any other plasmid in the history of the modelled cell. Second, because of the exponential behaviour of the search space, we assume that the smallest solution that exists can be found within the search space generated after reacting 10E7 plasmids. This second assumption is made in order to have sane parameters for termination.

### Math

An ancillary branch morphed out of the necessity to tend the exponential behaviour of the problem. There may exist some math that inherently facilitates the modeling and solving of this problem. We explored maths that mainly dealt with topology (knot theory) and functional reasoning (lambda theory, combinatory calculus) but finally could not identify a good candidate as a scaffold to our solution.