Evidence map›Paper›PMID 31623885›Full record

ArticleBiophysical journal2019

Model of a Kinetically Driven Crosstalk between Paralogous Protein Encounter Complexes.

Seyit Kale, Madeleine Strickland, Alan Peterkofsky, Jian Liu, Nico Tjandra

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 40% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Seyit KaleBiochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, Bethesda, Maryland; National Center for Biotechnology Information, National Library of Medicine, Bethesda, Maryland. Electronic address: seyitkale@gmail.com.
Madeleine StricklandBiochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, Bethesda, Maryland.
Alan PeterkofskyCell Biology and Physiology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Jian LiuDepartment of Cell Biology and Center for Cell Dynamics, School of Medicine, John Hopkins University, Baltimore, Maryland.
Nico TjandraBiochemistry and Biophysics Center, National Heart, Lung, and Blood Institute, Bethesda, Maryland. Electronic address: tjandran@nhlbi.nih.gov.
National Heart Lung and Blood Institute · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins interact with one another across a broad spectrum of affinities. Our understanding of the low end of this spectrum, as characterized by millimolar dissociation constants, relies on a handful of cases in which weak encounters have experimentally been identified. These weak interactions away from the specific target binding site can lead toward a higher-affinity complex. Recently, we detected weak encounters between two paralogous phosphotransferase pathways of Escherichia coli, which regulate various metabolic processes and stress responses. In addition to encounters that are known to occur between cognate proteins, i.e., those that can exchange phosphate groups with each other, surprisingly, encounters involving noncognates were also observed. It is not clear whether these "futile" encounters have a cooperative or competitive role. Using agent-based simulations, we find that the encounter complexes can be cooperative or competitive so as to increase or lower the effective binding affinity of the specific complex under different circumstances. This finding invites further questions into how organisms might exploit such low affinities to connect their signaling components.

Indexed as

Models, MolecularSequence Homology, Amino AcidDiffusionEscherichia coliEscherichia coli ProteinsKineticsLigandsMagnetic Resonance SpectroscopyProtein BindingProtein StabilityTime FactorsEscherichia coli ProteinsLigands

Identifiers

PMID31623885
PMCPMC6838881
OpenAlexW2978482377

What OpenQuestion holds

Textmetadata
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.