Fuzzy logic predicts cell aging

The process of aging disturbs a broad range of cellular mechanisms in a complex fashion and is not well understood. Computer models using fuzzy logic might help to unravel these complexities and predict how aging progresses in cells and organisms, according to a study from Drexel University in Philadelphia and Children's Hospital Boston.

"One important goal of computational approaches in aging is to develop integrated models of a unifying aging theory in order to better understand the progression of aging phenotypes grounded on molecular mechanisms," said Andres Kriete, Associate Professor at Drexel's School of Biomedical Engineering, Science and Health Systems and lead author of the study.

The study, which will appear in the June issue of PLOS , relates progressive damage and dysfunction in aging, dubbed a vicious cycle, to inflammatory and metabolic stress response pathways. Interestingly, the activation of these pathways remodels the inner functioning of the cell in a protective and adaptive manner and thus extends lifespan.

This is the first time that scientists have applied fuzzy logic modeling to the field of aging. "Since cellular biodynamics in aging may be considered a complex control system, a fuzzy logic approach seems to be particularly suitable," said Dr. William Bosl, co-author of this study. Dr. Bosl, a staff scientist in the Informatics Program at Children's Hospital Boston, developed a fuzzy logic modeling platform called Bionet together with a cell biologist, Dr. Rong Li of the Stowers Institute for Medical Research in Kansas City, to study the complex interactions that occur in a cell's machinery using the kind of qualitative information gained from laboratory experiments.

Fuzzy logic can handle imprecise input, but makes precise decisions and has wide industrial applications from air conditioning to anti-lock break systems in cars, using predefined rules. In a similar fashion, the aging model relies on sets of rules drawn from experimental data to describe molecular interactions. "Integration of such data is the declared goal of systems biology, which enables simulation of the response of cells to signaling cues, cell cycling and cell death," said Glenn Booker, who is Faculty at the College of Information Science and Technology at Drexel and co-author on the study.

Applications in aging are currently geared towards deciphering the underlying connections and networks. "We have to realize that the real strength of computational systems biology in aging is to be able to predict and develop strategies to control cellular networks better as they may be related to age related diseases," said Dr. Kriete, "and our approach is just a first step in this direction."


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'Fuzzy logic' reveals cells' inner workings

More information: Paper online: http://www.ploscompbiol.org/doi/pcbi.1000820
Citation: Fuzzy logic predicts cell aging (2010, June 17) retrieved 18 April 2019 from https://phys.org/news/2010-06-fuzzy-logic-cell-aging.html
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Jun 18, 2010
I'm sorry, but this is nothing but govt grant bait fluff. Fuzzy logic is a simple and obvious coding technique that estimates things that would otherwise require excessive computing power to do precisely, when precision isn't necessary. The term itself has been used almost exclusively as yet more government-grant bait in spite of it being a laughably simple and obvious technique. Look-up tables instead of floating point math, conditional code to handle asymptotes, etc. Its something every real-time DSP programmer does naturally when they don't have enough CPU to do what they want. It has nothing to do with making software smarter. Its just an obvious way to make it run faster. This is an example of our tax dollars at... nothing useful.

Jun 18, 2010
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