Literature DB >> 21889455

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

Xiaodong Pang1, Sanbo Qin, Huan-Xiang Zhou.   

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.
Copyright © 2011 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21889455      PMCID: PMC3164179          DOI: 10.1016/j.bpj.2011.06.056

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  45 in total

1.  Computer simulation of protein-protein association kinetics: acetylcholinesterase-fasciculin.

Authors:  A H Elcock; R R Gabdoulline; R C Wade; J A McCammon
Journal:  J Mol Biol       Date:  1999-08-06       Impact factor: 5.469

2.  Immunoassay of growth hormone in human serum.

Authors:  R M EHRLICH; P J RANDLE
Journal:  Lancet       Date:  1961-07-29       Impact factor: 79.321

3.  IL-4 receptor alpha is an important modulator of IL-4 and IL-13 receptor binding: implications for the development of therapeutic targets.

Authors:  Allison-Lynn Andrews; John W Holloway; Stephen T Holgate; Donna E Davies
Journal:  J Immunol       Date:  2006-06-15       Impact factor: 5.422

4.  Energy landscape and transition state of protein-protein association.

Authors:  Ramzi Alsallaq; Huan-Xiang Zhou
Journal:  Biophys J       Date:  2006-12-01       Impact factor: 4.033

5.  Prediction of protein-protein association rates from a transition-state theory.

Authors:  Ramzi Alsallaq; Huan-Xiang Zhou
Journal:  Structure       Date:  2007-02       Impact factor: 5.006

6.  Crystal structure of the interleukin-4/receptor alpha chain complex reveals a mosaic binding interface.

Authors:  T Hage; W Sebald; P Reinemer
Journal:  Cell       Date:  1999-04-16       Impact factor: 41.582

7.  The high- and low-affinity receptor binding sites of growth hormone are allosterically coupled.

Authors:  Scott T R Walsh; Juliesta E Sylvester; Anthony A Kossiakoff
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-24       Impact factor: 11.205

8.  The interleukin-4 site-2 epitope determining binding of the common receptor gamma chain.

Authors:  F Letzelter; Y Wang; W Sebald
Journal:  Eur J Biochem       Date:  1998-10-01

9.  Effect of an interleukin-4 variant on late phase asthmatic response to allergen challenge in asthmatic patients: results of two phase 2a studies.

Authors:  Sally Wenzel; Darren Wilbraham; Rick Fuller; Elise Burmeister Getz; Malinda Longphre
Journal:  Lancet       Date:  2007-10-20       Impact factor: 79.321

10.  Structural and thermodynamic bases for the design of pure prolactin receptor antagonists: X-ray structure of Del1-9-G129R-hPRL.

Authors:  Jean-Baptiste Jomain; Estelle Tallet; Isabelle Broutin; Sylviane Hoos; Jan van Agthoven; Arnaud Ducruix; Paul A Kelly; Birthe B Kragelund; Patrick England; Vincent Goffin
Journal:  J Biol Chem       Date:  2007-09-04       Impact factor: 5.157

View more
  12 in total

Review 1.  Modeling protein association mechanisms and kinetics.

Authors:  Huan-Xiang Zhou; Paul A Bates
Journal:  Curr Opin Struct Biol       Date:  2013-07-12       Impact factor: 6.809

2.  Distinct mechanisms of a phosphotyrosyl peptide binding to two SH2 domains.

Authors:  Xiaodong Pang; Huan-Xiang Zhou
Journal:  J Theor Comput Chem       Date:  2014-05       Impact factor: 0.939

Review 3.  Electrostatic Interactions in Protein Structure, Folding, Binding, and Condensation.

Authors:  Huan-Xiang Zhou; Xiaodong Pang
Journal:  Chem Rev       Date:  2018-01-10       Impact factor: 60.622

4.  Poisson-Boltzmann Calculations: van der Waals or Molecular Surface?

Authors:  Xiaodong Pang; Huan-Xiang Zhou
Journal:  Commun Comput Phys       Date:  2012-06-12       Impact factor: 3.246

5.  Automated prediction of protein association rate constants.

Authors:  Sanbo Qin; Xiaodong Pang; Huan-Xiang Zhou
Journal:  Structure       Date:  2011-12-07       Impact factor: 5.006

6.  The conformational feasibility for the formation of reaching dimer in ASV and HIV integrase: a molecular dynamics study.

Authors:  Sangeetha Balasubramanian; Muthukumaran Rajagopalan; Ravi Shankar Bojja; Anna Marie Skalka; Mark D Andrake; Amutha Ramaswamy
Journal:  J Biomol Struct Dyn       Date:  2016-11-28

Review 7.  Rate Constants and Mechanisms of Protein-Ligand Binding.

Authors:  Xiaodong Pang; Huan-Xiang Zhou
Journal:  Annu Rev Biophys       Date:  2017-03-30       Impact factor: 12.981

8.  PI2PE: A Suite of Web Servers for Predictions Ranging From Protein Structure to Binding Kinetics.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  Biophys Rev       Date:  2012-07-25

Review 9.  Multifarious determinants of cytokine receptor signaling specificity.

Authors:  Ignacio Moraga; Jamie Spangler; Juan L Mendoza; K Christopher Garcia
Journal:  Adv Immunol       Date:  2014       Impact factor: 3.543

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

Authors:  Xiaodong Pang; Kenneth H Zhou; Sanbo Qin; Huan-Xiang Zhou
Journal:  PLoS Comput Biol       Date:  2012-10-04       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.