Chemical genomics and molecular medicine
Bibliographic record
Abstract
Mycobacterium tuberculosis (Mtb) is the etiologic agent of tuberculosis and infects *32% of the human population.The cell envelope of mycobacteria is endowed with a number of unique lipids that play an important role in its virulence.Large multifunctional proteins called polyketide synthases (PKSs) catalyze the biosynthesis of these lipids.PKSs are generally involved in the synthesis of secondary metabolites in various organisms and their role in biosynthesis of virulence factors is unprecedented.PKSs require proteins called fatty acyl AMP ligases for the activation and utilization of fatty acid substrates.PKS12 is the largest open reading frame in the Mtb genome and contains at least twelve different catalytic sites on a single protein.Our systematic investigation of PKS12 protein revealed formation of a novel supramolecular assembly that catalyzes biosynthesis of a mycobacterial phospholipid antigen.Clearly, the lipid repertoire of mycobacteria necessitates a coordinated network of various biosynthetic enzymes.Insights into these molecular events provide an opportunity to develop inhibitors that would simultaneously disrupt several pathways in lipid metabolism.Due to overlapping substrate specificities and cofactor requirements of various enzymes involved in lipid biosynthesis, directed synthesis of chemical compounds targeting multiple pathways could provide new avenues for drug discovery.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.016 |
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".