› 1kw1

X-ray diffraction
2.2Å resolution

Crystal Structure of 3-Keto-L-Gulonate 6-Phosphate Decarboxylase with bound L-gulonate 6-phosphate

Released:
DOI: 10.2210/pdb1kw1/pdb
PDB entry 1kw1 coloured by chain, front view.
PDB entry 1kw1 coloured by chain, side view.
PDB entry 1kw1 coloured by chain, top view.
Source organism: Escherichia coli
Primary publication:
Homologous (beta/alpha)8-barrel enzymes that catalyze unrelated reactions: orotidine 5'-monophosphate decarboxylase and 3-keto-L-gulonate 6-phosphate decarboxylase.
Wise E, Yew WS, Babbitt PC, Gerlt JA, Rayment I
Biochemistry 41 3861-9 (2002)
PMID: 11900527

Function and Biology Details

Reaction catalysed: 
3-dehydro-L-gulonate 6-phosphate = L-xylulose 5-phosphate + CO(2)
Biochemical function:
Biological process:
Cellular component:
  • not assigned
Sequence domains:
Structure domain:

Structure analysis Details

Assemblies composition:
homo dimer (preferred)
homo tetramer
Assembly name:
PDBe Complex ID:
PDB-CPX-153861 (preferred)
Entry contents:
1 distinct polypeptide molecule
Macromolecule:
3-keto-L-gulonate-6-phosphate decarboxylase UlaD Chains: A, B
Molecule details ›
Chains: A, B
Length: 216 amino acids
Theoretical weight: 23.6 KDa
Source organism: Escherichia coli
Expression system: Escherichia coli BL21(DE3)
UniProt:
  • Canonical: P39304 (Residues: 1-216; Coverage: 100%)
Gene names: JW4154, b4196, sgaH, ulaD, yjfV
Sequence domains: Orotidine 5'-phosphate decarboxylase / HUMPS family
Structure domains: Aldolase class I

Ligands and Environments

2 bound ligands:
Ligand MG 2 x MG
Ligand LG6 2 x LG6
No modified residues

Experiments and Validation Details

Entry percentile scores
X-ray source: RIGAKU
Spacegroup: C2
Unit cell:
a: 123.978Å b: 42.071Å c: 91.837Å
α: 90° β: 97° γ: 90°
R-values:
R R work R free
0.18 0.18 0.212
Expression system: Escherichia coli BL21(DE3)

Quick links

Citations

8 review citations

Enzyme Function Initiative-Enzyme Similarity Tool (EFI-EST): A web tool for generating protein sequence similarity networks.
Gerlt et al. (2015)
7 more

1 mention without citation

Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations.
Martino et al. (2020)