"
Team/CINVESTAV-IPN-UNAM MX/Modelling.htm
From 2012.igem.org
Modeling Biological Systems!
Characterization of biological systems has reached an unparalleled level of detail. To
organize this detail and arrive at a better fundamental understanding of life processes, it is
essentialthat powerful conceptual tools from mathematics and computer science be applied to the
frontier problems in biology.
Modeling is evolving into an important partner of experimental work. They attempt to predict
and understand the behavior of complex biological systems before they are actually created. Also
models can help to simplify the complexity of data and interactions involved into a more concise
form with some measure of predictive ability. This can provide valuable insights into the working
and general principles of organization of biological systems. Also it may suggest novel experiments
for testing hypotheses, based on the modeling experiences.
References used through this section.
1. Oh JI, Kaplan S. (2001) Generalized approach to the regulation and integration of gene expression. Mol
Microbiol.
2.Zeilstra-Ryalls JH, Kaplan S. (1995) Aerobic and anaerobic regulation in Rhodobacter sphaeroides2.4.1: the
role of the fnrL gene. J Bacteriol.
3.Shinji MasudaandCarl E. Bauer. (2002)AppA Is a Blue Light Photoreceptor that Antirepresses
Photosynthesis Gene Expression in Rhodobacter sphaeroides. Cell Press.
4.Blinov ML, Faeder JR, Goldstein B, Hlavacek WS. (2004)BioNetGen: software for rule-based modeling of
signal transduction based on the interactions of molecular domains. Bioinformatics.
Rhodofactory 2012
