8RQU | pdb_00008rqu

Structure of TEM1 beta-lactamase variant 70.a


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.90 Å
  • R-Value Free: 
    0.266 (Depositor), 0.266 (DCC) 
  • R-Value Work: 
    0.220 (Depositor), 0.220 (DCC) 
  • R-Value Observed: 
    0.222 (Depositor) 

Starting Model: experimental
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wwPDB Validation 3D Report Full Report

Validation slider image for 8RQU

This is version 1.1 of the entry. See complete history

Literature

Simultaneous enhancement of multiple functional properties using evolution-informed protein design.

Fram, B.Su, Y.Truebridge, I.Riesselman, A.J.Ingraham, J.B.Passera, A.Napier, E.Thadani, N.N.Lim, S.Roberts, K.Kaur, G.Stiffler, M.A.Marks, D.S.Bahl, C.D.Khan, A.R.Sander, C.Gauthier, N.P.

(2024) Nat Commun 15: 5141-5141

  • DOI: https://doi.org/10.1038/s41467-024-49119-x
  • Primary Citation Related Structures: 
    8GII, 8GIJ, 8RQU

  • PubMed Abstract: 

    A major challenge in protein design is to augment existing functional proteins with multiple property enhancements. Altering several properties likely necessitates numerous primary sequence changes, and novel methods are needed to accurately predict combinations of mutations that maintain or enhance function. Models of sequence co-variation (e.g., EVcouplings), which leverage extensive information about various protein properties and activities from homologous protein sequences, have proven effective for many applications including structure determination and mutation effect prediction. We apply EVcouplings to computationally design variants of the model protein TEM-1 β-lactamase. Nearly all the 14 experimentally characterized designs were functional, including one with 84 mutations from the nearest natural homolog. The designs also had large increases in thermostability, increased activity on multiple substrates, and nearly identical structure to the wild type enzyme. This study highlights the efficacy of evolutionary models in guiding large sequence alterations to generate functional diversity for protein design applications.


  • Organizational Affiliation
    • Department of Systems Biology, Harvard Medical School, Boston, MA, USA. benjamin.fram.research@gmail.com.

Macromolecule Content 

  • Total Structure Weight: 57.13 kDa 
  • Atom Count: 3,930 
  • Modeled Residue Count: 512 
  • Deposited Residue Count: 532 
  • Unique protein chains: 1

Macromolecules

Find similar proteins by:|  3D Structure
Entity ID: 1
MoleculeChains  Sequence LengthOrganismDetailsImage
Beta-lactamase TEM-1
A, B
266Escherichia coliMutation(s): 0 
Gene Names: TEM-1
EC: 3.5.2.6

Small Molecules

Ligands 1 Unique
IDChains Name / Formula / InChI Key2D Diagram3D Interactions
MG

Query on MG



Download:Ideal Coordinates CCD File
C [auth B]MAGNESIUM ION
Mg
JLVVSXFLKOJNIY-UHFFFAOYSA-N

Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.90 Å
  • R-Value Free:  0.266 (Depositor), 0.266 (DCC) 
  • R-Value Work:  0.220 (Depositor), 0.220 (DCC) 
  • R-Value Observed: 0.222 (Depositor) 
Space Group: P 43
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 114.618α = 90
b = 114.618β = 90
c = 48.882γ = 90
Software Package:
Software NamePurpose
PHENIXrefinement
PHENIXrefinement
XDSdata reduction
Aimlessdata scaling
PHASERphasing

Structure Validation

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Entry History 

& Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
Science Foundation IrelandIrelandSFI-20/FFP-A/8446

Revision History  (Full details and data files)

  • Version 1.0: 2024-02-14
    Type: Initial release
  • Version 1.1: 2024-07-17
    Changes: Database references, Structure summary