[1203.5426] The Energetic Costs of Cellular Computation

Skip to main content

arXiv is now an independent nonprofit!<br>Learn more<br>&times;

Search arXiv

Press Enter to search &middot; Advanced search

-->

Quantitative Biology > Molecular Networks

arXiv:1203.5426 (q-bio)

[Submitted on 24 Mar 2012 (v1), last revised 10 Apr 2012 (this version, v3)]

Title:The Energetic Costs of Cellular Computation

Authors:Pankaj Mehta, David J. Schwab<br>View a PDF of the paper titled The Energetic Costs of Cellular Computation, by Pankaj Mehta and David J. Schwab

View PDF

Abstract:Cells often perform computations in response to environmental cues. A simple example is the classic problem, first considered by Berg and Purcell, of determining the concentration of a chemical ligand in the surrounding media. On general theoretical grounds (Landuer's Principle), it is expected that such computations require cells to consume energy. Here, we explicitly calculate the energetic costs of computing ligand concentration for a simple two-component cellular network that implements a noisy version of the Berg-Purcell strategy. We show that learning about external concentrations necessitates the breaking of detailed balance and consumption of energy, with greater learning requiring more energy. Our calculations suggest that the energetic costs of cellular computation may be an important constraint on networks designed to function in resource poor environments such as the spore germination networks of bacteria.

Comments:<br>9 Pages (including Appendix); 4 Figures; v3 corrects even more typos

Subjects:

Molecular Networks (q-bio.MN); Statistical Mechanics (cond-mat.stat-mech)

Cite as:<br>arXiv:1203.5426 [q-bio.MN]

(or<br>arXiv:1203.5426v3 [q-bio.MN] for this version)

https://doi.org/10.48550/arXiv.1203.5426

Focus to learn more

arXiv-issued DOI via DataCite

Related DOI:

https://doi.org/10.1073/pnas.1207814109

Focus to learn more

DOI(s) linking to related resources

Submission history<br>From: Pankaj Mehta [view email]<br>[v1]<br>Sat, 24 Mar 2012 15:52:10 UTC (652 KB)

[v2]<br>Wed, 4 Apr 2012 14:21:24 UTC (652 KB)

[v3]<br>Tue, 10 Apr 2012 16:26:01 UTC (652 KB)

Full-text links:<br>Access Paper:

View a PDF of the paper titled The Energetic Costs of Cellular Computation, by Pankaj Mehta and David J. Schwab<br>View PDF<br>TeX Source

view license

Current browse context:

q-bio.MN

next >

new<br>recent<br>| 2012-03

Change to browse by:

cond-mat<br>cond-mat.stat-mech<br>q-bio

References & Citations

NASA ADS<br>Google Scholar

Semantic Scholar

1 blog link<br>(what is this?)

export BibTeX citation<br>Loading...

BibTeX formatted citation

&times;

loading...

Data provided by:

Bookmark

Bibliographic Tools

Bibliographic and Citation Tools

Bibliographic Explorer Toggle

Bibliographic Explorer (What is the Explorer?)

Connected Papers Toggle

Connected Papers (What is Connected Papers?)

Litmaps Toggle

Litmaps (What is Litmaps?)

scite.ai Toggle

scite Smart Citations (What are Smart Citations?)

Code, Data, Media

Code, Data and Media Associated with this Article

alphaXiv Toggle

alphaXiv (What is alphaXiv?)

Links to Code Toggle

CatalyzeX Code Finder for Papers (What is CatalyzeX?)

DagsHub Toggle

DagsHub (What is DagsHub?)

GotitPub Toggle

Gotit.pub (What is GotitPub?)

Huggingface Toggle

Hugging Face (What is Huggingface?)

ScienceCast Toggle

ScienceCast (What is ScienceCast?)

Demos

Demos

Replicate Toggle

Replicate (What is Replicate?)

Spaces Toggle

Hugging Face Spaces (What is Spaces?)

Spaces Toggle

TXYZ.AI (What is TXYZ.AI?)

Related Papers

Recommenders and Search Tools

Link to Influence Flower

Influence Flower (What are Influence Flowers?)

Core recommender toggle

CORE Recommender (What is CORE?)

Author

Venue

Institution

Topic

About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs .

Which authors of this paper are endorsers? |<br>Disable MathJax (What is MathJax?)

Major funding support from