Literature DB >> 16957340

Electrostatic design of protein-protein association rates.

Gideon Schreiber1, Yossi Shaul, Kay E Gottschalk.   

Abstract

De novo design and redesign of proteins and protein complexes have made promising progress in recent years. Here, we give an overview of how to use available computer-based tools to design proteins to bind faster and tighter to their protein-complex partner by electrostatic optimization between the two proteins. Electrostatic optimization is possible because of the simple relation between the Debye-Huckel energy of interaction between a pair of proteins and their rate of association. This can be used for rapid, structure-based calculations of the electrostatic attraction between the two proteins in the complex. Using these principles, we developed two computer programs that predict the change in k(on), and as such the affinity, on introducing charged mutations. The two programs have a web interface that is available at <webref type="url">www.weizmann.ac.il/home/bcges/PARE.html</webref> and <webref type="url">http://bip.weizmann.ac.il/hypare</webref>. When mutations leading to charge optimization are introduced outside the physical binding site, the rate of dissociation is unchanged and therefore the change in k(on) parallels that of the affinity. This design method was evaluated on a number of different protein complexes resulting in binding rates and affinities of hundreds of fold faster and tighter compared to wild type. In this chapter, we demonstrate the procedure and go step by step over the methodology of using these programs for protein-association design. Finally, the way to easily implement the principle of electrostatic design for any protein complex of choice is shown.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16957340     DOI: 10.1385/1-59745-116-9:235

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  13 in total

Review 1.  Protein-protein complexation in bioluminescence.

Authors:  Maxim S Titushin; Yingang Feng; John Lee; Eugene S Vysotski; Zhi-Jie Liu
Journal:  Protein Cell       Date:  2012-01-10       Impact factor: 14.870

2.  The effect of different force applications on the protein-protein complex Barnase-Barstar.

Authors:  Jan Neumann; Kay-Eberhard Gottschalk
Journal:  Biophys J       Date:  2009-09-16       Impact factor: 4.033

Review 3.  Computer-aided design of functional protein interactions.

Authors:  Daniel J Mandell; Tanja Kortemme
Journal:  Nat Chem Biol       Date:  2009-11       Impact factor: 15.040

4.  Direct visualization reveals dynamics of a transient intermediate during protein assembly.

Authors:  Xin Zhang; Vinh Q Lam; Yun Mou; Tetsunari Kimura; Jaeyoon Chung; Sowmya Chandrasekar; Jay R Winkler; Stephen L Mayo; Shu-ou Shan
Journal:  Proc Natl Acad Sci U S A       Date:  2011-04-04       Impact factor: 11.205

5.  On the electrostatic properties of homodimeric proteins.

Authors:  Brandon Campbell; Marharyta Petukh; Emil Alexov; Chuan Li
Journal:  J Theor Comput Chem       Date:  2014       Impact factor: 0.939

Review 6.  Computational design of affinity and specificity at protein-protein interfaces.

Authors:  John Karanicolas; Brian Kuhlman
Journal:  Curr Opin Struct Biol       Date:  2009-07-29       Impact factor: 6.809

7.  Empirical estimation of the energetic contribution of individual interface residues in structures of protein-protein complexes.

Authors:  Mainak Guharoy; Pinak Chakrabarti
Journal:  J Comput Aided Mol Des       Date:  2009-05-29       Impact factor: 3.686

8.  Brownian dynamics study of the association between the 70S ribosome and elongation factor G.

Authors:  Maciej Długosz; Gary A Huber; J Andrew McCammon; Joanna Trylska
Journal:  Biopolymers       Date:  2011-03-10       Impact factor: 2.505

9.  Protein flexibility, not disorder, is intrinsic to molecular recognition.

Authors:  Joël Janin; Michael J E Sternberg
Journal:  F1000 Biol Rep       Date:  2013-01-11

10.  Characterizing changes in the rate of protein-protein dissociation upon interface mutation using hotspot energy and organization.

Authors:  Rudi Agius; Mieczyslaw Torchala; Iain H Moal; Juan Fernández-Recio; Paul A Bates
Journal:  PLoS Comput Biol       Date:  2013-09-05       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.