Literature DB >> 16906768

Structure, dynamics, and stability variation in bacterial albumin binding modules: implications for species specificity.

Yanan He1, David A Rozak, Nese Sari, Yihong Chen, Philip Bryan, John Orban.   

Abstract

Protein G-related albumin-binding (GA) modules are frequently expressed on the surfaces of bacterial cells. The limited amino acid sequence variation among GA modules results in structural and functional differences with possible implications for bacterial pathogenesis and host specificity. In particular, the streptococcal G148-GA3 and F. magna ALB8-GA albumin-binding domains exhibit a degree of structural and dynamic diversity that may account for their varied affinities for different species of albumin. To explore the impact of GA module polymorphisms on albumin binding and specificity, we recently used offset recombinant PCR to shuffle seven artificially constructed representatives of the GA sequence space and scan the phage-displayed recombinant domains for mutations that supported binding to the phylogenetically distinct human and guinea pig serum albumins (HSA and GPSA) (Rozak et al. (2006) Biochemistry 45, 3263-3271). Surprisingly, phage selection revealed an overwhelming preference for a single recombinant domain (PSD-1, phage-selected domain-1) regardless of whether the phages were enriched for their abilities to bind one or both of these albumins. We describe here the NMR-derived structure, dynamics, and stability of unbound PSD-1. Our results demonstrate that increased flexibility is not a requirement for broadened specificity, as had been suggested earlier (Johansson et al. (2002) J. Mol. Biol. 316, 1083-1099), because PSD-1 binds the phylogenetically diverse HSA and GPSA even more tightly than G148-GA3 but is less flexible. The structural basis for albumin-binding specificity is analyzed in light of these new results.

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Year:  2006        PMID: 16906768     DOI: 10.1021/bi060409m

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  13 in total

1.  The design and characterization of two proteins with 88% sequence identity but different structure and function.

Authors:  Patrick A Alexander; Yanan He; Yihong Chen; John Orban; Philip N Bryan
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-03       Impact factor: 11.205

2.  NMR structures of two designed proteins with high sequence identity but different fold and function.

Authors:  Yanan He; Yihong Chen; Patrick Alexander; Philip N Bryan; John Orban
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-16       Impact factor: 11.205

3.  A minimal sequence code for switching protein structure and function.

Authors:  Patrick A Alexander; Yanan He; Yihong Chen; John Orban; Philip N Bryan
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-18       Impact factor: 11.205

Review 4.  Structural metamorphism and polymorphism in proteins on the brink of thermodynamic stability.

Authors:  Prakash Kulkarni; Tsega L Solomon; Yanan He; Yihong Chen; Philip N Bryan; John Orban
Journal:  Protein Sci       Date:  2018-09-24       Impact factor: 6.725

5.  Subdomain interactions foster the design of two protein pairs with ∼80% sequence identity but different folds.

Authors:  Lauren L Porter; Yanan He; Yihong Chen; John Orban; Philip N Bryan
Journal:  Biophys J       Date:  2015-01-06       Impact factor: 4.033

6.  Co-Evolutionary Fitness Landscapes for Sequence Design.

Authors:  Pengfei Tian; John M Louis; James L Baber; Annie Aniana; Robert B Best
Journal:  Angew Chem Int Ed Engl       Date:  2018-03-25       Impact factor: 15.336

7.  De novo structure generation using chemical shifts for proteins with high-sequence identity but different folds.

Authors:  Yang Shen; Philip N Bryan; Yanan He; John Orban; David Baker; Ad Bax
Journal:  Protein Sci       Date:  2010-02       Impact factor: 6.725

8.  Mutational tipping points for switching protein folds and functions.

Authors:  Yanan He; Yihong Chen; Patrick A Alexander; Philip N Bryan; John Orban
Journal:  Structure       Date:  2012-02-08       Impact factor: 5.006

9.  An artificially evolved albumin binding module facilitates chemical shift epitope mapping of GA domain interactions with phylogenetically diverse albumins.

Authors:  Yanan He; Yihong Chen; David A Rozak; Philip N Bryan; John Orban
Journal:  Protein Sci       Date:  2007-06-13       Impact factor: 6.725

Review 10.  The albumin-binding domain as a scaffold for protein engineering.

Authors:  Johan Nilvebrant; Sophia Hober
Journal:  Comput Struct Biotechnol J       Date:  2013-09-01       Impact factor: 7.271

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