Evidence map›Paper›PMID 30256816›Full record

ArticlePloS one2018

Theoretical analysis of inducer and operator binding for cyclic-AMP receptor protein mutants.

Tal Einav, Julia Duque, Rob Phillips

Erratum issuedOpen access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Anticipating response function in gene regulatory networks.Journal of the Royal Society, Interface · 2021
    Article
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  9. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Tal EinavDepartment of Physics, California Institute of Technology, Pasadena, CA, United States of America.ORCID 0000-0003-0777-1193
Julia DuqueDepartment of Physics and the London Centre for Nanotechnology, University College London, London, United Kingdom.
Rob PhillipsDepartment of Physics, California Institute of Technology, Pasadena, CA, United States of America.ORCID 0000-0003-3082-2809
California Institute of Technology · USLondon Centre for Nanotechnology · GB

Funding

The Principles of Regulatory, Conformational and Evolutionary AdaptationR35GM118043 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ROB PHILLIPS · 2016 to 2026
$7.9M
NIH Director's Pioneer Award (RMI)DP1OD000217 · OD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI PHILLIPS, ROB · 2004 to 2008
$4.0M
Single-Molecule and Single-Cell Analysis of Transcription Factor-DNA ComplexesR01GM085286 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI PHILLIPS, ROB · 2009 to 2015
$2.8M
NIGMS NIH HHS R01 GM085286NIGMS NIH HHS R35 GM118043NIH HHS DP1 OD000217
6 · The paper itself

Abstract

Allosteric transcription factors undergo binding events at inducer binding sites as well as at distinct DNA binding domains, and it is difficult to disentangle the structural and functional consequences of these two classes of interactions. We compare the ability of two statistical mechanical models-the Monod-Wyman-Changeux (MWC) and the Koshland-Némethy-Filmer (KNF) models of protein conformational change-to characterize the multi-step activation mechanism of the broadly acting cyclic-AMP receptor protein (CRP). We first consider the allosteric transition resulting from cyclic-AMP binding to CRP, then analyze how CRP binds to its operator, and finally investigate the ability of CRP to activate gene expression. We use these models to examine a beautiful recent experiment that created a single-chain version of the CRP homodimer, creating six mutants using all possible combinations of the wild type, D53H, and S62F subunits. We demonstrate that the MWC model can explain the behavior of all six mutants using a small, self-consistent set of parameters whose complexity scales with the number of subunits, providing a significant benefit over previous models. In comparison, the KNF model not only leads to a poorer characterization of the available data but also fails to generate parameter values in line with the available structural knowledge of CRP. In addition, we discuss how the conceptual framework developed here for CRP enables us to not merely analyze data retrospectively, but has the predictive power to determine how combinations of mutations will interact, how double mutants will behave, and how each construct would regulate gene expression.

Indexed as

MutationAlgorithmsAllosteric RegulationBinding SitesCyclic AMP Receptor ProteinEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialModels, StatisticalProtein ConformationProtein Domainscrp protein, E coliCyclic AMP Receptor ProteinEscherichia coli Proteins

Identifiers

PMID30256816
PMCPMC6157895
OpenAlexW2779232293

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.