Team/CINVESTAV-IPN-UNAM MX/Modelling.htm


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<p align="center"> Rhodofactory 2012 </p>
<p align="center"> <strong>Rhodofactory 2012</strong> </p>
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Latest revision as of 00:09, 27 October 2012


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