Validating Conditionally Essential Targets: Discovery of the First Orally Effective Biotin Inhibitor against <i>Mycobacterium Tuberculosis</i>
Bibliographic record
Abstract
ABSTRACT Conditionally essential pathways - such as the biotin biosynthesis - represent promising targets for new antibiotics. However, the chemical interrogation of the biotin pathway with an orally effective lead remains elusive, and the preclinical development of biotin inhibitors for mycobacterial infections in vivo is challenging due to the unusually high concentration of biotin in standard mouse models. Structure-guided optimization was applied to develop the first oral lead targeting aminotransferase BioA, a key enzyme in bacterial biotin biosynthesis, resulting in C48 , a picomolar inhibitor displaying sub-micromolar MICs against Mycobacterium tuberculosis (Mtb). Mechanism of action was confirmed by biochemical, structural, and genetic studies. C48 demonstrated favorable pharmacokinetics and excellent oral bioavailability resulting in over 39,000-fold improved exposure. We next developed an easy-to-operate, low-biotin mouse model that recapitulates human biotin physiology. C48 significantly reduced Mtb burden in this low-biotin mouse model, providing the first in vivo proof-of-concept for targeting biotin biosynthesis in Mtb.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".