Literature DB >> 18775544

Computational redesign of the SHV-1 beta-lactamase/beta-lactamase inhibitor protein interface.

Kimberly A Reynolds1, Melinda S Hanes, Jodi M Thomson, Andrew J Antczak, James M Berger, Robert A Bonomo, Jack F Kirsch, Tracy M Handel.   

Abstract

Beta-lactamases are enzymes that catalyze the hydrolysis of beta-lactam antibiotics. beta-lactamase/beta-lactamase inhibitor protein (BLIP) complexes are emerging as a well characterized experimental model system for studying protein-protein interactions. BLIP is a 165 amino acid protein that inhibits several class A beta-lactamases with a wide range of affinities: picomolar affinity for K1; nanomolar affinity for TEM-1, SME-1, and BlaI; but only micromolar affinity for SHV-1 beta-lactamase. The large differences in affinity coupled with the availability of extensive mutagenesis data and high-resolution crystal structures for the TEM-1/BLIP and SHV-1/BLIP complexes make them attractive systems for the further development of computational design methodology. We used EGAD, a physics-based computational design program, to redesign BLIP in an attempt to increase affinity for SHV-1. Characterization of several of designs and point mutants revealed that in all cases, the mutations stabilize the interface by 10- to 1000-fold relative to wild type BLIP. The calculated changes in binding affinity for the mutants were within a mean absolute error of 0.87 kcal/mol from the experimental values, and comparison of the calculated and experimental values for a set of 30 SHV-1/BLIP complexes yielded a correlation coefficient of 0.77. Structures of the two complexes with the highest affinity, SHV-1/BLIP (E73M) and SHV-1/BLIP (E73M, S130K, S146M), are presented at 1.7 A resolution. While the predicted structures have much in common with the experimentally determined structures, they do not coincide perfectly; in particular a salt bridge between SHV-1 D104 and BLIP K74 is observed in the experimental structures, but not in the predicted design conformations. This discrepancy highlights the difficulty of modeling salt bridge interactions with a protein design algorithm that approximates side chains as discrete rotamers. Nevertheless, while local structural features of the interface were sometimes miscalculated, EGAD is globally successful in designing complexes with increased affinity.

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Year:  2008        PMID: 18775544      PMCID: PMC4085744          DOI: 10.1016/j.jmb.2008.05.051

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  28 in total

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2.  PHENIX: building new software for automated crystallographic structure determination.

Authors:  Paul D Adams; Ralf W Grosse-Kunstleve; Li Wei Hung; Thomas R Ioerger; Airlie J McCoy; Nigel W Moriarty; Randy J Read; James C Sacchettini; Nicholas K Sauter; Thomas C Terwilliger
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2002-10-21

3.  Dissecting the protein-protein interface between beta-lactamase inhibitory protein and class A beta-lactamases.

Authors:  Zhen Zhang; Timothy Palzkill
Journal:  J Biol Chem       Date:  2004-07-28       Impact factor: 5.157

4.  Likelihood-enhanced fast rotation functions.

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Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2004-02-25

5.  Energy functions for protein design I: efficient and accurate continuum electrostatics and solvation.

Authors:  Navin Pokala; Tracy M Handel
Journal:  Protein Sci       Date:  2004-03-09       Impact factor: 6.725

6.  A standard numbering scheme for the class A beta-lactamases.

Authors:  R P Ambler; A F Coulson; J M Frère; J M Ghuysen; B Joris; M Forsman; R C Levesque; G Tiraby; S G Waley
Journal:  Biochem J       Date:  1991-05-15       Impact factor: 3.857

7.  Coot: model-building tools for molecular graphics.

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8.  Suite of three protein crystallography beamlines with single superconducting bend magnet as the source.

Authors:  Alastair A MacDowell; Rich S Celestre; Malcolm Howells; Wayne McKinney; James Krupnick; Daniella Cambie; Edward E Domning; Robert M Duarte; Nicholas Kelez; David W Plate; Carl W Cork; Thomas N Earnest; Jeffery Dickert; George Meigs; Corie Ralston; James M Holton; Tom Alber; James M Berger; David A Agard; Howard A Padmore
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9.  Mutagenesis of amino acid residues in the SHV-1 beta-lactamase: the premier role of Gly238Ser in penicillin and cephalosporin resistance.

Authors:  A M Hujer; K M Hujer; R A Bonomo
Journal:  Biochim Biophys Acta       Date:  2001-05-05

10.  Determinants of binding affinity and specificity for the interaction of TEM-1 and SME-1 beta-lactamase with beta-lactamase inhibitory protein.

Authors:  Zhen Zhang; Timothy Palzkill
Journal:  J Biol Chem       Date:  2003-08-21       Impact factor: 5.157

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  23 in total

1.  Computational design of a symmetric homodimer using β-strand assembly.

Authors:  P Benjamin Stranges; Mischa Machius; Michael J Miley; Ashutosh Tripathy; Brian Kuhlman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-05       Impact factor: 11.205

Review 2.  Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

Authors:  Pierre Tuffery; Philippe Derreumaux
Journal:  J R Soc Interface       Date:  2011-10-12       Impact factor: 4.118

3.  Identification and characterization of beta-lactamase inhibitor protein-II (BLIP-II) interactions with beta-lactamases using phage display.

Authors:  N G Brown; T Palzkill
Journal:  Protein Eng Des Sel       Date:  2010-03-22       Impact factor: 1.650

4.  Structural determinants of affinity enhancement between GoLoco motifs and G-protein alpha subunit mutants.

Authors:  Dustin E Bosch; Adam J Kimple; Deanne W Sammond; Robin E Muller; Michael J Miley; Mischa Machius; Brian Kuhlman; Francis S Willard; David P Siderovski
Journal:  J Biol Chem       Date:  2010-11-29       Impact factor: 5.157

Review 5.  Computer-aided design of functional protein interactions.

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

6.  Analysis of the binding forces driving the tight interactions between beta-lactamase inhibitory protein-II (BLIP-II) and class A beta-lactamases.

Authors:  Nicholas G Brown; Dar-Chone Chow; Banumathi Sankaran; Peter Zwart; B V Venkataram Prasad; Timothy Palzkill
Journal:  J Biol Chem       Date:  2011-07-20       Impact factor: 5.157

7.  A comparison of successful and failed protein interface designs highlights the challenges of designing buried hydrogen bonds.

Authors:  P Benjamin Stranges; Brian Kuhlman
Journal:  Protein Sci       Date:  2012-11-29       Impact factor: 6.725

8.  Engineering Specificity from Broad to Narrow: Design of a β-Lactamase Inhibitory Protein (BLIP) Variant That Exclusively Binds and Detects KPC β-Lactamase.

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Journal:  ACS Infect Dis       Date:  2016-10-26       Impact factor: 5.084

9.  Fine mapping of the sequence requirements for binding of beta-lactamase inhibitory protein (BLIP) to TEM-1 beta-lactamase using a genetic screen for BLIP function.

Authors:  Ji Yuan; Wanzhi Huang; Dar-Chone Chow; Timothy Palzkill
Journal:  J Mol Biol       Date:  2009-04-21       Impact factor: 5.469

Review 10.  Scratching the Surface: Resurfacing Proteins to Endow New Properties and Function.

Authors:  Alex M Chapman; Brian R McNaughton
Journal:  Cell Chem Biol       Date:  2016-05-19       Impact factor: 8.116

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