4MB1

The Structure of MalL mutant enzyme G202P from Bacillus subtilus


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.40 Å
  • R-Value Free: 0.200 
  • R-Value Work: 0.173 
  • R-Value Observed: 0.174 

wwPDB Validation   3D Report Full Report


This is version 1.1 of the entry. See complete history


Literature

Change in heat capacity for enzyme catalysis determines temperature dependence of enzyme catalyzed rates.

Hobbs, J.K.Jiao, W.Easter, A.D.Parker, E.J.Schipper, L.A.Arcus, V.L.

(2013) ACS Chem Biol 8: 2388-2393

  • DOI: 10.1021/cb4005029
  • Primary Citation of Related Structures:  
    4M56, 4M8U, 4MAZ, 4MB1

  • PubMed Abstract: 
  • The increase in enzymatic rates with temperature up to an optimum temperature (Topt) is widely attributed to classical Arrhenius behavior, with the decrease in enzymatic rates above Topt ascribed to protein denaturation and/or aggregation. This account persists despite many investigators noting that denaturation is insufficient to explain the decline in enzymatic rates above Topt ...

    The increase in enzymatic rates with temperature up to an optimum temperature (Topt) is widely attributed to classical Arrhenius behavior, with the decrease in enzymatic rates above Topt ascribed to protein denaturation and/or aggregation. This account persists despite many investigators noting that denaturation is insufficient to explain the decline in enzymatic rates above Topt. Here we show that it is the change in heat capacity associated with enzyme catalysis (ΔC(‡)p) and its effect on the temperature dependence of ΔG(‡) that determines the temperature dependence of enzyme activity. Through mutagenesis, we demonstrate that the Topt of an enzyme is correlated with ΔC(‡)p and that changes to ΔC(‡)p are sufficient to change Topt without affecting the catalytic rate. Furthermore, using X-ray crystallography and molecular dynamics simulations we reveal the molecular details underpinning these changes in ΔC(‡)p. The influence of ΔC(‡)p on enzymatic rates has implications for the temperature dependence of biological rates from enzymes to ecosystems.


    Organizational Affiliation

    Department of Biological Sciences, Faculty of Science and Engineering, University of Waikato , Hamilton 3240, New Zealand.



Macromolecules
Find similar proteins by:  (by identity cutoff)  |  Structure
Entity ID: 1
MoleculeChainsSequence LengthOrganismDetailsImage
Oligo-1,6-glucosidase 1 A561Bacillus subtilis subsp. subtilis str. 168Mutation(s): 1 
Gene Names: malLyvdLBSU34560
EC: 3.2.1.10
Find proteins for O06994 (Bacillus subtilis (strain 168))
Explore O06994 
Go to UniProtKB:  O06994
Protein Feature View
Expand
  • Reference Sequence
Small Molecules
Ligands 2 Unique
IDChainsName / Formula / InChI Key2D Diagram3D Interactions
TRS
Query on TRS

Download Ideal Coordinates CCD File 
A
2-AMINO-2-HYDROXYMETHYL-PROPANE-1,3-DIOL
C4 H12 N O3
LENZDBCJOHFCAS-UHFFFAOYSA-O
 Ligand Interaction
CA
Query on CA

Download Ideal Coordinates CCD File 
A
CALCIUM ION
Ca
BHPQYMZQTOCNFJ-UHFFFAOYSA-N
 Ligand Interaction
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.40 Å
  • R-Value Free: 0.200 
  • R-Value Work: 0.173 
  • R-Value Observed: 0.174 
  • Space Group: P 1 21 1
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 48.5α = 90
b = 101.07β = 112.86
c = 61.85γ = 90
Software Package:
Software NamePurpose
MOSFLMdata reduction
Aimlessdata scaling
PHASERphasing
REFMACrefinement
PDB_EXTRACTdata extraction
ADSCdata collection

Structure Validation

View Full Validation Report



Entry History 

Deposition Data

Revision History  (Full details and data files)

  • Version 1.0: 2013-09-25
    Type: Initial release
  • Version 1.1: 2013-11-27
    Changes: Database references