Dataset for: Multisite Phosphorylation Provides a Reliable Mechanism for Making Decisions in Noisy Environments
Posted on 2018-09-25 - 12:09 authored by Wiley Admin
The ability to make decisions at the cellular level is absolutely critical for the survival of organisms. Eukaryotic cells are constantly making binary decisions in response to internal and environmental signals. Among the most notable transducers of information are protein kinases. The regulation of these signaling proteins often relies on the activity of other protein kinases located upstream in the signaling cascade. However, these signaling systems are by their own nature an important source of molecular noise. Herein, we have assessed the role of multisite phosphorylation on detecting signals in the face of molecular noise. To address this issue, we have conceptually envisioned the biochemical transduction machinery as a classifier model that can lead to four possible outputs: true positives and negatives, and false positives and negatives. In this probabilistic framework, we show that multisite phosphorylation represents a mechanism to filter noise during the decision-making process. We present results showing that nonessential phosphorylation sites contribute to increase the rate of true positives while, at the same time, they can lessen the rate of false positives. This simultaneous increase in sensitivity and specificity, makes multisite phosphorylation a valuable and easily implemented mechanism to reliably transduce information in noisy contexts.
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Carlos Aledo, Juan; Admin, Wiley (2018). Dataset for: Multisite Phosphorylation Provides a Reliable Mechanism for Making Decisions in Noisy Environments. Wiley. Collection. https://doi.org/10.6084/m9.figshare.c.4200389.v1Â
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AUTHORS (2)
JC
Juan Carlos Aledo
CATEGORIES
- Regenerative medicine (incl. stem cells)
- Biochemistry and cell biology not elsewhere classified
- Plant cell and molecular biology
- Animal cell and molecular biology
- Evolution of developmental systems
- Structural biology (incl. macromolecular modelling)
- Synthetic biology
- Proteomics and intermolecular interactions (excl. medical proteomics)
- Evolutionary biology not elsewhere classified
- Signal transduction
- Cancer cell biology
- Systems biology
- Bioinformatics and computational biology not elsewhere classified
- Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)
KEYWORDS
Decisionâmakingprotein kinasenoisesignalingstochasticityStem CellsBiochemistryMolecular BiologyDevelopmental BiologyStructural BiologySynthetic BiologyProteomics and Intermolecular Interactions (excl. Medical Proteomics)Evolutionary BiologySignal TransductionCancer Cell BiologySystems BiologyBioinformaticsHeat and Mass Transfer Operations