ReviewThe journal of physical chemistry. B2016
Role of Proteome Physical Chemistry in Cell Behavior.
Review in The journal of physical chemistry. B, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
14 citing papers in PubMed, 39 citations in OpenAlex.
- Toward a systems metabolic engineering approach to improve thermotolerance of Escherichia coli.Microbial cell factories · 2026Review
- Statistical Thermodynamics of the Protein Ensemble: Mediating Function and Evolution.Annual review of biophysics · 2025Review
- Impact of local unfolding fluctuations on the evolution of regional sequence preferences in proteins.Protein science : a publication of the Protein Society · 2025Article
- Energetic cost of biosynthesis is a missing link between growth and longevity in mammals.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Two-state swimming: Strategy and survival of a model bacterial predator in response to environmental cues.Biophysical journal · 2023Article
- Article
- Rules of Physical Mathematics Govern Intrinsically Disordered Proteins.Annual review of biophysics · 2022Review
- A Thermodynamic Atlas of Proteomes Reveals Energetic Innovation across the Tree of Life.Molecular biology and evolution · 2022Article
- Thermal Analysis of a Mixture of Ribosomal Proteins by vT-ESI-MS: Toward a Parallel Approach for Characterizing theAnalytical chemistry · 2021Article
- Encapsulation of ribozymes inside model protocells leads to faster evolutionary adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- How Do Cells Adapt? Stories Told in Landscapes.Annual review of chemical and biomolecular engineering · 2020Review
- Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes.BMC bioinformatics · 2020Article
- Proteostasis collapse is a driver of cell aging and death.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Protein evolution speed depends on its stability and abundance and on chaperone concentrations.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
We review how major cell behaviors, such as bacterial growth laws, are derived from the physical chemistry of the cell's proteins. On one hand, cell actions depend on the individual biological functionalities of their many genes and proteins. On the other hand, the common physics among proteins can be as important as the unique biology that distinguishes them. For example, bacterial growth rates depend strongly on temperature. This dependence can be explained by the folding stabilities across a cell's proteome. Such modeling explains how thermophilic and mesophilic organisms differ, and how oxidative damage of highly charged proteins can lead to unfolding and aggregation in aging cells. Cells have characteristic time scales. For example, E. coli can duplicate as fast as 2-3 times per hour. These time scales can be explained by protein dynamics (the rates of synthesis and degradation, folding, and diffusional transport). It rationalizes how bacterial growth is slowed down by added salt. In the same way that the behaviors of inanimate materials can be expressed in terms of the statistical distributions of atoms and molecules, some cell behaviors can be expressed in terms of distributions of protein properties, giving insights into the microscopic basis of growth laws in simple cells.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.