Evidence map›Paper›PMID 37348461›Full record

ReviewCell systems2023

The computational capabilities of many-to-many protein interaction networks.

Heidi E Klumpe, Jordi Garcia-Ojalvo, Michael B Elowitz, Yaron E Antebi

Abstract readReview
In one paragraph

Review in Cell systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Why cellular computations challenge our design principles.Seminars in cell & developmental biology · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Principles of Computation by Competitive Protein Dimerization Networks.bioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Variability in Neural Circuit Formation.Cold Spring Harbor perspectives in biology · 2024
    Review
  17. Article
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Heidi E KlumpeDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Biological Design Center, Boston University, Boston, MA 02215, USA.
Jordi Garcia-OjalvoDepartment of Medicine and Life Sciences, Pompeu Fabra University, 08003 Barcelona, Spain. Electronic address: jordi.g.ojalvo@upf.edu.
Michael B ElowitzDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA. Electronic address: melowitz@caltech.edu.
Yaron E AntebiDepartment of Molecular Genetics, Weizmann Institute of Science 76100, Rehovot, Israel. Electronic address: ayaron@weizmann.ac.il.

Funding

MEMOIR: Recording, and in situ readout of cell lineage and transcriptional historyR01MH116508 · NIMH · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CAI, LONG, ELOWITZ, MICHAEL B · 2017 to 2021
$6.9M
Quantitative Single-Cell Analysis of Mammalian Notch Signaling StatesR01HD075335 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ELOWITZ, MICHAEL B · 2012 to 2024
$3.7M
Howard Hughes Medical InstituteNICHD NIH HHS R01 HD075335NIMH NIH HHS R01 MH116508
6 · The paper itself

Abstract

Many biological circuits comprise sets of protein variants that interact with one another in a many-to-many, or promiscuous, fashion. These architectures can provide powerful computational capabilities that are especially critical in multicellular organisms. Understanding the principles of biochemical computations in these circuits could allow more precise control of cellular behaviors. However, these systems are inherently difficult to analyze, due to their large number of interacting molecular components, partial redundancies, and cell context dependence. Here, we discuss recent experimental and theoretical advances that are beginning to reveal how promiscuous circuits compute, what roles those computations play in natural biological contexts, and how promiscuous architectures can be applied for the design of synthetic multicellular behaviors.

Indexed as

Protein Interaction Mapsbiological circuitbiological computationcombinatorial protein interactionsmolecular computationpromiscuous protein interactionsprotein networkssignal transduction

Identifiers

PMID37348461
PMCPMC10318606

What OpenQuestion holds

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Registered trials

None linked

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.