Figures
Predictive cell systems modeling of aging.
An important goal of computational approaches in aging is to develop integrated systems models, predicting progression of aging phenotypes grounded on molecular mechanisms. The authors assemble a rule-based, fuzzy-logic cell systems model that considers the interplay of damage, metabolism, and stress signaling by positive and negative feedback-loop motifs. This artistic montage, which shows part of the network model on the left and a simulation outcome on the right, reflects the ability to investigate, rapidly and repeatedly, complex and interlocked molecular mechanisms progressing over an entire lifespan (see Kriete et al., doi:10.1371/journal.pcbi.1000820).
Image Credit: Andres Kriete
Citation: (2010) PLoS Computational Biology Issue Image | Vol. 6(6) June 2010. PLoS Comput Biol 6(6): ev06.i06. https://doi.org/10.1371/image.pcbi.v06.i06
Published: June 24, 2010
Copyright: © 2010 Kriete et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
An important goal of computational approaches in aging is to develop integrated systems models, predicting progression of aging phenotypes grounded on molecular mechanisms. The authors assemble a rule-based, fuzzy-logic cell systems model that considers the interplay of damage, metabolism, and stress signaling by positive and negative feedback-loop motifs. This artistic montage, which shows part of the network model on the left and a simulation outcome on the right, reflects the ability to investigate, rapidly and repeatedly, complex and interlocked molecular mechanisms progressing over an entire lifespan (see Kriete et al., doi:10.1371/journal.pcbi.1000820).
Image Credit: Andres Kriete