Biochemical analysis of a sugar 4,6-dehydratase from Acanthamoeba polyphaga Mimivirus.
Justin D FerekJames B ThodenHazel M HoldenPublished in: Protein science : a publication of the Protein Society (2020)
The exciting discovery of the giant DNA Mimivirus in 2003 challenged the conventional description of viruses in a radical way, and since then, dozens of additional giant viruses have been identified. It has now been demonstrated that the Mimivirus genome encodes for the two enzymes required for the production of the unusual sugar 4-amino-4,6-dideoxy-d-glucose, namely a 4,6-dehydratase and an aminotransferase. In light of our long-standing interest in the bacterial 4,6-dehydratases and in unusual sugars in general, we conducted a combined structural and functional analysis of the Mimivirus 4,6-dehydratase referred to as R141. For this investigation, the three-dimensional X-ray structure of R141 was determined to 2.05 Å resolution and refined to an R-factor of 18.3%. The overall fold of R141 places it into the short-chain dehydrogenase/reductase (SDR) superfamily of proteins. Whereas its molecular architecture is similar to that observed for the bacterial 4,6-dehydratases, there are two key regions where the polypeptide chain adopts different conformations. In particular, the conserved tyrosine that has been implicated as a catalytic acid or base in SDR superfamily members is splayed away from the active site by nearly 12 Å, thereby suggesting that a major conformational change must occur upon substrate binding. In addition to the structural analysis, the kinetic parameters for R141 using either dTDP-d-glucose or UDP-d-glucose as substrates were determined. Contrary to a previous report, R141 demonstrates nearly identical catalytic efficiency with either nucleotide-linked sugar. The data presented herein represent the first three-dimensional model for a viral 4,6-dehydratase and thus expands our understanding of these fascinating enzymes.
Keyphrases
- single molecule
- blood glucose
- sars cov
- small molecule
- molecular dynamics
- molecular dynamics simulations
- electronic health record
- transcription factor
- cell free
- high resolution
- gene expression
- magnetic resonance
- machine learning
- type diabetes
- blood pressure
- rare case
- magnetic resonance imaging
- computed tomography
- insulin resistance
- dual energy
- skeletal muscle
- amino acid
- dna binding
- genetic diversity
- weight loss
- glycemic control