Evidence map›Paper›PMID 23055910›Full record

ArticlePLoS computational biology2012

Prediction and dissection of widely-varying association rate constants of actin-binding proteins.

Xiaodong Pang, Kenneth H Zhou, Sanbo Qin, Huan-Xiang Zhou

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Modeling Electrostatic Force in Protein-Protein Recognition.Frontiers in molecular biosciences · 2019
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Distinct mechanisms of a phosphotyrosyl peptide binding to two SH2 domains.Journal of theoretical & computational chemistry · 2014
    Article
  12. On the electrostatic properties of homodimeric proteins.Journal of theoretical & computational chemistry · 2014
    Article
  13. Modeling protein association mechanisms and kinetics.Current opinion in structural biology · 2013
    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 at 2 institutions in 1 country.

Xiaodong PangDepartment of Physics and Institute of Molecular Biophysics, Florida State University, Tallahassee, Florida, United States of America.
Kenneth H Zhou
Sanbo Qin
Huan-Xiang Zhou
Florida State University · USLawton Public Schools · US

Funding

THEORY OF PROTEIN/PROTEIN ASSOCIATIONR01GM058187 · NIGMS · FLORIDA STATE UNIVERSITY · PI ZHOU, HUAN-XIANG · 1998 to 2016
$3.7M
NIGMS NIH HHS GM058187NIGMS NIH HHS R01 GM058187
6 · The paper itself

Abstract

Actin is an abundant protein that constitutes a main component of the eukaryotic cytoskeleton. Its polymerization and depolymerization are regulated by a variety of actin-binding proteins. Their functions range from nucleation of actin polymerization to sequestering G-actin in 1∶1 complexes. The kinetics of forming these complexes, with rate constants varying at least three orders of magnitude, is critical to the distinct regulatory functions. Previously we have developed a transient-complex theory for computing protein association mechanisms and association rate constants. The transient complex refers to an intermediate in which the two associating proteins have near-native separation and relative orientation but have yet to form short-range specific interactions of the native complex. The association rate constant is predicted as k(a) = k(a0) e(-ΔG(el*)/k(B)T), where k(a0) is the basal rate constant for reaching the transient complex by free diffusion, and the Boltzmann factor captures the bias of long-range electrostatic interactions. Here we applied the transient-complex theory to study the association kinetics of seven actin-binding proteins with G-actin. These proteins exhibit three classes of association mechanisms, due to their different molecular shapes and flexibility. The 1000-fold k(a) variations among them can mostly be attributed to disparate electrostatic contributions. The basal rate constants also showed variations, resulting from the different shapes and sizes of the interfaces formed by the seven actin-binding proteins with G-actin. This study demonstrates the various ways that actin-binding proteins use physical properties to tune their association mechanisms and rate constants to suit distinct regulatory functions.

Indexed as

ActinsAmino Acid SequenceBinding SitesComputational BiologyDiffusionKineticsMicrofilament ProteinsModels, MolecularMolecular Sequence DataPolymerizationProtein BindingProtein ConformationProtein MultimerizationStatic ElectricityActinsMicrofilament Proteins

Identifiers

PMID23055910
PMCPMC3464195
OpenAlexW2032117903

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.