09.02.2014 Views

A Toy Model of Chemical Reaction Networks - TBI - Universität Wien

A Toy Model of Chemical Reaction Networks - TBI - Universität Wien

A Toy Model of Chemical Reaction Networks - TBI - Universität Wien

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

4 CHAPTER 1. INTRODUCTION<br />

¡ ¡ ¡<br />

¢ ¢<br />

¡ £ ¡<br />

¢<br />

¡ ¡ ¡<br />

Figure 1.2: Alexander Crum Brown’s master’s thesis [14, 69] was the first scientific<br />

publication to use systematically the graph representation <strong>of</strong> molecules<br />

in today’s form.<br />

unbiased construction.<br />

There are many models simulating different parts <strong>of</strong> CRNs at different<br />

accuracy levels (see sect. 2). The present <strong>Toy</strong> <strong>Model</strong> could be situated on a<br />

medium level <strong>of</strong> abstraction. QM/MM simulations, which use 3D information,<br />

are chemically more accurate, but may suffer from high time complexity.<br />

On the other hand, very abstract artificial chemistries are useful to study the<br />

evolution <strong>of</strong> networks but, like the λ-calculus (sect. 2.1), do not include thermodynamics<br />

or other important features <strong>of</strong> chemistry.<br />

In chemistry, the changes <strong>of</strong> molecules upon interaction are not limited<br />

to quantitative properties <strong>of</strong> physical state, such as free energy or density,<br />

because molecular interactions do not only produce more <strong>of</strong> what is already<br />

there. Rather, novel molecules can be generated. This is the principal difficulty<br />

for any theoretical treatment <strong>of</strong> the situation. <strong>Chemical</strong> combinatorics<br />

makes it impossible to think <strong>of</strong> molecules as atomic names whose reactive relationships<br />

are tabulated. A computational approach to large scale reaction<br />

networks therefore requires an underlying model <strong>of</strong> an artificial chemistry to<br />

capture the unlimited potential <strong>of</strong> chemical combinatorics. The investigation<br />

<strong>of</strong> generic properties <strong>of</strong> chemistries requires the possibility to vary the<br />

chemistry itself; hence a self-consistent albeit simplified combinatorial model<br />

seems to be more useful than a knowledge-based implementation <strong>of</strong> the real<br />

chemistry which inevitably is subject to sampling biases.<br />

We are going to use a graphical representation <strong>of</strong> molecules in connection<br />

with a simple quantum mechanical wave function analysis. The analysis determines<br />

the reactions and dynamics <strong>of</strong> CRN. This <strong>Toy</strong> <strong>Model</strong> <strong>of</strong> chemistry<br />

is computationally inexpensive and still retains the “look and feel” <strong>of</strong> the<br />

real (detailed quantum-mechanical) thing. In the following, the <strong>Toy</strong> <strong>Model</strong><br />

is briefly described.<br />

The representation <strong>of</strong> molecules as graphs has been used by chemists<br />

since the nineteenth century (fig. 1.2). In textbooks and scientific publica-

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!