Evidence map›Paper›PMID 37961250›Full record

ArticlebioRxiv : the preprint server for biology2024

Principles of Computation by Competitive Protein Dimerization Networks.

Jacob Parres-Gold, Matthew Levine, Benjamin Emert, Andrew Stuart, Michael B Elowitz

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 11 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jacob Parres-GoldDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-2050-0139
Matthew LevineBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0002-5627-3169
Benjamin EmertDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-4857-2425
Andrew StuartDivision of Engineering and Applied Sciences, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0001-9091-7266
Michael B ElowitzDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-1221-0967
California Institute of Technology · USBroad Institute · US

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
Cell targeting with synthetic sense-and-respond protease circuitsR01EB030015 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ELOWITZ, MICHAEL B · 2020 to 2023
$2.3M
NIBIB NIH HHS R01 EB030015NIMH NIH HHS R01 MH116508
6 · The paper itself

Abstract

Many biological signaling pathways employ proteins that competitively dimerize in diverse combinations. These dimerization networks can perform biochemical computations, in which the concentrations of monomers (inputs) determine the concentrations of dimers (outputs). Despite their prevalence, little is known about the range of input-output computations that dimerization networks can perform (their "expressivity") and how it depends on network size and connectivity. Using a systematic computational approach, we demonstrate that even small dimerization networks (3-6 monomers) are

Indexed as

biological computationcompetitive dimerizationcomputational expressivitycomputational modelingprotein-protein interaction networks

Identifiers

PMID37961250
PMCPMC10634983
OpenAlexW4388212864

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.