RBApy: Extending resource allocation modeling to eukaryotes in complex environments

Clicks: 10
ID: 329014
2026
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #164 of 173 articles by views in Bioinformatics advances

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 173 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract Motivation Resource allocation modeling—as the Resource Balance Analysis (RBA) framework— provides a way to understand and predict how limited cellular resources (e.g., energy, proteins, etc.) in cells are distributed among competing cell processes within a limited cellular space. Currently, resource allocation modeling for any eukaryotes remains limited due to the lack of software capable of generating calibrated RBA models for these types of cells, unlike prokaryotes, which benefit from the software tools RBApy, RBAtools and the RBAml format for model encoding. Results Here we extended the RBA toolkit (RBApy, RBAtools and RBAml) to account for specific aspects of eukaryotic cells growing in complex environments such as varying temperature, light or nutritional conditions. We used them to generate and simulate RBA models of both prokaryotic (Escherichia coli) and eukaryotic (Arabidopsis thaliana) cells for varying temperatures. The resulting models show excellent prediction capabilities when benchmarked against published experimental datasets. The upgraded RBA toolkit will pave the way to creating, calibrating and running resource allocation models for crops, livestock or humans for a wide range of medical, biotechnological or agricultural applications in the future. Availability and implementation RBApy and RBAtools are available via PyPI, and at https://github.com/RBAgroup.
Reference Key
openalex_W7154438634 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Oliver Bodeit, Nadia Bessoltane-Bentahar, Delphine Charif, Anaghim Temtem, Olivier Inizan, Anne Goelzer
Are you one of these authors? Claim your profile
Journal Bioinformatics advances
Year 2026
DOI
10.1093/bioadv/vbag276
URL
https://doi.org/10.1093/bioadv/vbag276
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.