Resumo (PT):
Abstract (EN):
This work presents a molecular-scale agent-based model for the simulation
of enzymatic reactions at experimentally measured concentrations. The model
incorporates stochasticity and spatial dependence, using diffusing and reacting particles
with physical dimensions. We developed strategies to adjust and validate the enzymatic
rates and diffusion coefficients to the information required by the computational agents,
i.e., collision efficiency, interaction logic between agents, the time scale associated with
interactions (e.g., kinetics), and agent velocity. Also, we tested the impact of molecular
location (a source of biological noise) in the speed at which the reactions take place.
Simulations were conducted for experimental data on the 2-hydroxymuconate
tautomerase (EC 5.3.2.6, UniProt ID Q01468) and the Steroid Delta-isomerase (EC
5.3.3.1, UniProt ID P07445). Obtained results demonstrate that our approach is in
accordance to existing experimental data and long-term biophysical and biochemical
assumptions.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
12