Expression, Purification, and Characterization of a Galactofuranosyltransferase Involved in <i>Mycobacterium t</i> <i>uberculosis</i> Arabinogalactan Biosynthesis
Bibliographic record
Abstract
The major structural component of the cell wall of Mycobacterium tuberculosis is a lipidated polysaccharide, the mycoyl-arabinogalactan-peptidoglycan (mAGP) complex. This glycoconjugate plays a key role in the survival of the organism, and thus, enzymes involved in its biosynthesis have attracted attention as sites for drug action. At the core of the mAGP is a galactan composed of D-galactofuranose residues attached via alternating beta-(1-->5) and beta-(1-->6) linkages. A single enzyme, glfT, has been shown to synthesize both glycosidic linkages. We report here the first high-level expression and purification of glfT by expression of the Rv3808c gene in Escherichia coli C41(DE3). Following a three-step purification procedure, 3-7 mg of protein of >95% purity was isolated from each liter of culture. We subsequently probed the substrate specificity of glfT by evaluating a panel of potential mono- and oligosaccharide substrates and demonstrated, for the first time, that trisaccharides are better substrates than disaccharides and that one disaccharide, in which the terminal D-galactofuranose residue is replaced with an L-arabinofuranose moiety, is a weak substrate. Kinetic characterization of the enzyme using four of the oligosaccharide acceptors gave K(m) values ranging from 204 microM to 1.7 mM. Through the use of NMR spectroscopy and mass spectrometry, we demonstrated that this recombinant enzyme, like the wild-type protein, is bifunctional and can synthesize both beta-(1-->6) and beta-(1-->5)-linkages in an alternating fashion. Access to purified glfT is expected to facilitate the development of high-throughput assays for the identification of inhibitors of the enzyme, which are potential antituberculosis agents.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".