<scp>FadD</scp>3 is an acyl‐<scp>CoA</scp> synthetase that initiates catabolism of cholesterol rings <scp>C</scp> and <scp>D</scp> in actinobacteria
Bibliographic record
Abstract
The cholesterol catabolic pathway occurs in most mycolic acid-containing actinobacteria, such as Rhodococcus jostii RHA1, and is critical for Mycobacterium tuberculosis (Mtb) during infection. FadD3 is one of four predicted acyl-CoA synthetases potentially involved in cholesterol catabolism. A ΔfadD3 mutant of RHA1 grew on cholesterol to half the yield of wild-type and accumulated 3aα-H-4α(3'-propanoate)-7aβ-methylhexahydro-1,5-indanedione (HIP), consistent with the catabolism of half the steroid molecule. This phenotype was rescued by fadD3 of Mtb. Moreover, RHA1 but not ΔfadD3 grew on HIP. Purified FadD3(Mtb) catalysed the ATP-dependent CoA thioesterification of HIP and its hydroxylated analogues, 5α-OH HIP and 1β-OH HIP. The apparent specificity constant (k(cat) /K(m) ) of FadD3(Mtb) for HIP was 7.3 ± 0.3 × 10(5) M(-1) s(-1) , 165 times higher than for 5α-OH HIP, while the apparent K(m) for CoASH was 110 ± 10 μM. In contrast to enzymes involved in the catabolism of rings A and B, FadD3(Mtb) did not detectably transform a metabolite with a partially degraded C17 side-chain. Overall, these results indicate that FadD3 is a HIP-CoA synthetase that initiates catabolism of steroid rings C and D after side-chain degradation is complete. These findings are consistent with the actinobacterial kstR2 regulon encoding ring C/D degradation enzymes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".