Probing druggability and biological function of essential proteins in <scp><i>L</i></scp><i>eishmania</i> combining facilitated null mutant and plasmid shuffle analyses
Bibliographic record
Abstract
Leishmania parasites cause important human morbidity and mortality. Essential Leishmania genes escape genetic assessment by loss-of-function analyses due to lethal null mutant phenotypes, even though these genes and their products are biologically most significant and represent validated drug targets. Here we overcome this limitation using a facilitated null mutant approach applied for the functional genetic analysis of the MAP kinase LmaMPK4. This system relies on the episomal expression of the target gene from vector pXNG that expresses the Herpes simplex virus thymidine kinase gene thus rendering transgenic parasites susceptible for negative selection using the antiviral drug ganciclovir. Using this system we establish the genetic proof of LmaMPK4 as essential kinase in promastigotes. LmaMPK4 structure/function analysis by plasmid shuffle allowed us to identify regulatory kinase sequence elements relevant for chemotherapeutic intervention. A partial null mutant, expressing an MPK4 derivative with altered ATP-binding properties, showed defects in metacyclogenesis, establishing a first link of MPK4 function to parasite differentiation. The approaches presented here are broadly applicable to any essential gene in Leishmania thus overcoming major bottlenecks for their functional genetic analysis and their exploitation for structure-informed drug development.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".