Literature DB >> 17690100

Mutations designed to destabilize the receptor-bound conformation increase MICA-NKG2D association rate and affinity.

Candice S E Lengyel1, Lindsey J Willis, Patrick Mann, David Baker, Tanja Kortemme, Roland K Strong, Benjamin J McFarland.   

Abstract

MICA is a major histocompatibility complex-like protein that undergoes a structural transition from disorder to order upon binding its immunoreceptor, NKG2D. We redesigned the disordered region of MICA with RosettaDesign to increase NKG2D binding. Mutations that stabilize this region were expected to increase association kinetics without changing dissociation kinetics, increase affinity of interaction, and reduce entropy loss upon binding. MICA mutants were stable in solution, and they were amenable to surface plasmon resonance evaluation of NKG2D binding kinetics and thermodynamics. Several MICA mutants bound NKG2D with enhanced affinity, kinetic changes were primarily observed during association, and thermodynamic changes in entropy were as expected. However, none of the 15 combinations of mutations predicted to stabilize the receptor-bound MICA conformation enhanced NKG2D affinity, whereas all 10 mutants predicted to be destabilized bound NKG2D with increased on-rates. Five of these had affinities enhanced by 0.9-1.8 kcal/mol over wild type by one to three non-contacting substitutions. Therefore, in this case, mutations designed to mildly destabilize a protein enhanced association and affinity.

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Year:  2007        PMID: 17690100     DOI: 10.1074/jbc.M704513200

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  15 in total

1.  Combining different design strategies for rational affinity maturation of the MICA-NKG2D interface.

Authors:  Samuel H Henager; Melissa A Hale; Nicholas J Maurice; Erin C Dunnington; Carter J Swanson; Megan J Peterson; Joseph J Ban; David J Culpepper; Luke D Davies; Lisa K Sanders; Benjamin J McFarland
Journal:  Protein Sci       Date:  2012-08-10       Impact factor: 6.725

2.  Systematic mutation and thermodynamic analysis of central tyrosine pairs in polyspecific NKG2D receptor interactions.

Authors:  David J Culpepper; Michael K Maddox; Andrew B Caldwell; Benjamin J McFarland
Journal:  Mol Immunol       Date:  2010-11-12       Impact factor: 4.407

3.  OptGraft: A computational procedure for transferring a binding site onto an existing protein scaffold.

Authors:  Hossein Fazelinia; Patrick C Cirino; Costas D Maranas
Journal:  Protein Sci       Date:  2009-01       Impact factor: 6.725

4.  Structure of natural killer cell receptor KLRG1 bound to E-cadherin reveals basis for MHC-independent missing self recognition.

Authors:  Yili Li; Maike Hofmann; Qian Wang; Leslie Teng; Lukasz K Chlewicki; Hanspeter Pircher; Roy A Mariuzza
Journal:  Immunity       Date:  2009-07-17       Impact factor: 31.745

5.  MICA polymorphisms and cancer risk: a meta-analysis.

Authors:  Mengyao Ji; Jun Wang; Lei Yuan; Yunting Zhang; Jixiang Zhang; Weiguo Dong; Xiulan Peng
Journal:  Int J Clin Exp Med       Date:  2015-01-15

6.  Slow, reversible, coupled folding and binding of the spectrin tetramerization domain.

Authors:  S L Shammas; J M Rogers; S A Hill; J Clarke
Journal:  Biophys J       Date:  2012-11-20       Impact factor: 4.033

7.  Biochemical Basis for Dominant Inheritance, Variable Penetrance, and Maternal Effects in RBP4 Congenital Eye Disease.

Authors:  Christopher M Chou; Christine Nelson; Susan A Tarlé; Jonathan T Pribila; Tanya Bardakjian; Sean Woods; Adele Schneider; Tom Glaser
Journal:  Cell       Date:  2015-04-23       Impact factor: 41.582

8.  RosettaBackrub--a web server for flexible backbone protein structure modeling and design.

Authors:  Florian Lauck; Colin A Smith; Gregory F Friedland; Elisabeth L Humphris; Tanja Kortemme
Journal:  Nucleic Acids Res       Date:  2010-05-12       Impact factor: 16.971

9.  Association of MICA-TM and MICB C1_2_A microsatellite polymorphisms with tumor progression in patients with colorectal cancer.

Authors:  R Kopp; J Glas; U Lau-Werner; E D Albert; E H Weiss
Journal:  J Clin Immunol       Date:  2009-04-08       Impact factor: 8.317

10.  Size-exclusion chromatography can identify faster-associating protein complexes and evaluate design strategies.

Authors:  Chad L Mayer; W Kalani Snyder; Monika A Swietlicka; Andrew D Vanschoiack; Chad R Austin; Benjamin J McFarland
Journal:  BMC Res Notes       Date:  2009-07-15
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