4R4S

Crystal structure of chimeric beta-lactamase cTEM-19m at 1.1 angstrom resolution


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.10 Å
  • R-Value Free: 0.128 
  • R-Value Work: 0.104 
  • R-Value Observed: 0.105 

wwPDB Validation   3D Report Full Report


This is version 1.3 of the entry. See complete history


Literature

The Structural Dynamics of Engineered beta-Lactamases Vary Broadly on Three Timescales yet Sustain Native Function.

Gobeil, S.M.C.Ebert, M.C.C.J.C.Park, J.Gagne, D.Doucet, N.Berghuis, A.M.Pleiss, J.Pelletier, J.N.

(2019) Sci Rep 9: 6656-6656

  • DOI: https://doi.org/10.1038/s41598-019-42866-8

  • PubMed Abstract: 

    Understanding the principles of protein dynamics will help guide engineering of protein function: altering protein motions may be a barrier to success or may be an enabling tool for protein engineering. The impact of dynamics on protein function is typically reported over a fraction of the full scope of motional timescales. If motional patterns vary significantly at different timescales, then only by monitoring motions broadly will we understand the impact of protein dynamics on engineering functional proteins. Using an integrative approach combining experimental and in silico methodologies, we elucidate protein dynamics over the entire span of fast to slow timescales (ps to ms) for a laboratory-engineered system composed of five interrelated β-lactamases: two natural homologs and three laboratory-recombined variants. Fast (ps-ns) and intermediate (ns-µs) dynamics were mostly conserved. However, slow motions (µs-ms) were few and conserved in the natural homologs yet were numerous and widely dispersed in their recombinants. Nonetheless, modified slow dynamics were functionally tolerated. Crystallographic B-factors from high-resolution X-ray structures were partly predictive of the conserved motions but not of the new slow motions captured in our solution studies. Our inspection of protein dynamics over a continuous range of timescales vividly illustrates the complexity of dynamic impacts of protein engineering as well as the functional tolerance of an engineered enzyme system to new slow motions.


  • Organizational Affiliation

    Département de biochimie and Center for Green Chemistry and Catalysis (CGCC), Université de Montréal, Montréal, QC, H3T 1J4, Canada.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Beta-lactamase TEM,Beta-lactamase PSE-4263Escherichia coliPseudomonas aeruginosaMutation(s): 0 
Gene Names: blablaT-3blaT-4blaT-5blaT-6pse4carB1
EC: 3.5.2.6
UniProt
Find proteins for P62593 (Escherichia coli)
Explore P62593 
Go to UniProtKB:  P62593
Find proteins for P16897 (Pseudomonas aeruginosa)
Explore P16897 
Go to UniProtKB:  P16897
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupsP62593P16897
Sequence Annotations
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  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.10 Å
  • R-Value Free: 0.128 
  • R-Value Work: 0.104 
  • R-Value Observed: 0.105 
  • Space Group: P 21 21 21
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 36.71α = 90
b = 58.71β = 90
c = 109.77γ = 90
Software Package:
Software NamePurpose
MxDCdata collection
REFMACrefinement
XDSdata reduction
XSCALEdata scaling
REFMACphasing

Structure Validation

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Entry History 

Deposition Data

Revision History  (Full details and data files)

  • Version 1.0: 2015-11-11
    Type: Initial release
  • Version 1.1: 2017-08-02
    Changes: Refinement description, Source and taxonomy
  • Version 1.2: 2020-04-22
    Changes: Database references
  • Version 1.3: 2023-09-20
    Changes: Data collection, Database references, Derived calculations, Refinement description