Evidence map›Paper›PMID 21889455›Full record

ArticleBiophysical journal2011

Rationalizing 5000-fold differences in receptor-binding rate constants of four cytokines.

Xiaodong Pang, Sanbo Qin, Huan-Xiang Zhou

Abstract read
In one paragraph

Article in Biophysical journal, 2011. 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
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Discovering optimal kinetic pathways for self-assembly using automatic differentiation.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  2. Review
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  5. Distinct mechanisms of a phosphotyrosyl peptide binding to two SH2 domains.Journal of theoretical & computational chemistry · 2014
    Article
  6. Review
  7. Modeling protein association mechanisms and kinetics.Current opinion in structural biology · 2013
    Review
  8. PIBiophysical reviews · 2013
    Article
  9. Poisson-Boltzmann Calculations: van der Waals or Molecular Surface?Communications in computational physics · 2013
    Article
  10. Article
  11. Article
  12. Article
  13. Automated prediction of protein association rate constants.Structure (London, England : 1993) · 2011
    Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xiaodong PangDepartment of Physics and Institute of Molecular Biophysics, Florida State University, Tallahassee, Florida, USA.
Sanbo Qin
Huan-Xiang Zhou

Funding

THEORY OF PROTEIN/PROTEIN ASSOCIATIONR01GM058187 · NIGMS · FLORIDA STATE UNIVERSITY · PI ZHOU, HUAN-XIANG · 1998 to 2016
$3.7M
NIGMS NIH HHS GM58187NIGMS NIH HHS R01 GM058187
6 · The paper itself

Abstract

The four cytokines erythropoietin (EPO), interleukin-4 (IL4), human growth hormone (hGH), and prolactin (PRL) all form four-helix bundles and bind to type I cytokine receptors. However, their receptor-binding rate constants span a 5000-fold range. Here, we quantitatively rationalize these vast differences in rate constants by our transient-complex theory for protein-protein association. In the transient complex, the two proteins have near-native separation and relative orientation, but have yet to form the short-range specific interactions of the native complex. The theory predicts the association rate constant as k(a)=k(a0)exp(-ΔG(el)(∗)/k(B)T) where k(a0) is the basal rate constant for reaching the transient complex by random diffusion, and the Boltzmann factor captures the rate enhancement due to electrostatic attraction. We found that the vast differences in receptor-binding rate constants of the four cytokines arise mostly from the differences in charge complementarity among the four cytokine-receptor complexes. The basal rate constants (k(a0)) of EPO, IL4, hGH, and PRL were similar (5.2 × 10(5) M(-1)s(-1), 2.4 × 10(5) M(-1)s(-1), 1.7 × 10(5) M(-1)s(-1), and 1.7 × 10(5) M(-1)s(-1), respectively). However, the average electrostatic free energies (ΔG(e1)(∗)) were very different (-4.2 kcal/mol, -2.4 kcal/mol, -0.1 kcal/mol, and -0.5 kcal/mol, respectively, at ionic strength=160 mM). The receptor-binding rate constants predicted without adjusting any parameters, 6.2 × 10(8) M(-1)s(-1), 1.3 × 10(7) M(-1)s(-1), 2.0 × 10(5) M(-1)s(-1), and 7.6 × 10(4) M(-1)s(-1), respectively, for EPO, IL4, hGH, and PRL agree well with experimental results. We uncover that these diverse rate constants are anticorrelated with the circulation concentrations of the cytokines, with the resulting cytokine-receptor binding rates very close to the limits set by the half-lives of the receptors, suggesting that these binding rates are functionally relevant and perhaps evolutionarily tuned. Our calculations also reproduced well-observed effects of mutations and ionic strength on the rate constants and produced a set of mutations on the complex of hGH with its receptor that putatively enhances the rate constant by nearly 100-fold through increasing charge complementarity. To quantify charge complementarity, we propose a simple index based on the charge distribution within the binding interface, which shows good correlation with ΔG(e1)(∗). Together these results suggest that protein charges can be manipulated to tune k(a) and control biological function.

Indexed as

Models, MolecularCytokinesHumansKineticsMutationOsmolar ConcentrationProtein BindingProtein ConformationReceptors, CytokineCytokinesReceptors, Cytokine

Identifiers

PMID21889455
PMCPMC3164179

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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.