Literature DB >> 11164263

Improving the refolding yield of interleukin-4 through the optimization of local interactions.

H Domingues1, J Peters, K H Schneider, H Apeler, W Sebald, H Oschkinat, L Serrano.   

Abstract

Interleukin-4 (IL-4) is a multifunctional cytokine that plays an important role in the regulation of various immune responses. However, the development of IL-4 or IL-4 variants into potential therapeutic drugs is hindered by the low efficiency of the in vitro refolding process of this protein. In this work, we have investigated the improvement of the refolding yield of IL-4 using two different rational design approaches. The first one is based on the so-called inverse hydrophobic effect and involved the replacement of a solvent exposed, non-conserved, hydrophobic residue (W91) by serine. This led to an increase in stability of 1.4 kcal mol(-1) and shifted the midpoint transition temperature (Tm) from 62 to 70 degrees C. The second approach is based on the stabilization of alpha-helices through the introduction of favorable local interactions. This strategy resulted in the following helix sequence for helix C of IL-4, 68ASAAEANRHKQLIRFLKRLDRNLWGLAG95. The mutant protein was stabilized by 0.5 kcal mol(-1), the Tm shifted to 68 degrees C, and a two-fold increase in the refolding yield was consistently observed. Our results make the large-scale production of IL-4 derivatives economically more viable, suggest that a similar approach can be applied to other related proteins, and may represent a general strategy to improve in vitro refolding yields through the selective optimization of the stability of alpha-helices.

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Year:  2000        PMID: 11164263     DOI: 10.1016/s0168-1656(00)00327-8

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  4 in total

1.  Predicting folding free energy changes upon single point mutations.

Authors:  Zhe Zhang; Lin Wang; Yang Gao; Jie Zhang; Maxim Zhenirovskyy; Emil Alexov
Journal:  Bioinformatics       Date:  2012-01-11       Impact factor: 6.937

Review 2.  Challenges in the computational design of proteins.

Authors:  María Suárez; Alfonso Jaramillo
Journal:  J R Soc Interface       Date:  2009-03-11       Impact factor: 4.118

3.  Analyzing effects of naturally occurring missense mutations.

Authors:  Zhe Zhang; Maria A Miteva; Lin Wang; Emil Alexov
Journal:  Comput Math Methods Med       Date:  2012-04-22       Impact factor: 2.238

4.  Robust Prediction of Single and Multiple Point Protein Mutations Stability Changes.

Authors:  Óscar Álvarez-Machancoses; Enrique J De Andrés-Galiana; Juan Luis Fernández-Martínez; Andrzej Kloczkowski
Journal:  Biomolecules       Date:  2019-12-31
  4 in total

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