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Record W2050318990 · doi:10.1074/jbc.m111.307884

Adenine Aminohydrolase from Leishmania donovani

2012· article· en· W2050318990 on OpenAlexafffund
Jan M. Boitz, Rona Strasser, Charles U. Hartman, Armando Jardim, Buddy Ullman

Bibliographic record

VenueJournal of Biological Chemistry · 2012
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsMcGill UniversitySte. Anne's Hospital
FundersNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsBiologyLeishmania donovaniHypoxanthineMolecular biologyAdenosine deaminaseBiochemistryPurine metabolismAdenosineEnzymeLeishmaniasisGeneticsVisceral leishmaniasis

Abstract

fetched live from OpenAlex

Background: Purine salvage in Leishmania is an indispensable nutritional process.Results: Adenine aminohydrolase, a key purine enzyme in Leishmania, has been characterized biochemically and genetically.Conclusion: Adenine aminohydrolase is a unique enzyme in purine salvage that converts 6-aminopurines into 6-oxypurines.Significance: Functional characterization of key enzymes is crucial for understanding purine salvage and ultimately for targeting the pathway with drugs. Adenine aminohydrolase (AAH) is an enzyme that is not present in mammalian cells and is found exclusively inLeishmania among the protozoan parasites that infect humans.AAH plays a paramount role in purine metabolism in this genus by steering 6-aminopurines into 6-oxypurines.Leishmania donovani AAH is 38 and 23% identical to Saccharomyces cerevisiae AAH and human adenosine deaminase enzymes, respectively, catalyzes adenine deamination to hypoxanthine with an apparent K m of 15.4 M, and does not recognize adenosine as a substrate.Western blot analysis established that AAH is expressed in both life cycle stages of L. donovani, whereas subcellular fractionation and immunofluorescence studies confirmed that AAH is localized to the parasite cytosol.Deletion of the AAH locus in intact parasites established that AAH is not an essential gene and that ⌬aah cells are capable of salvaging the same range of purine nucleobases and nucleosides as wild type L. donovani.The ⌬aah null mutant was able to infect murine macrophages in vitro and in mice, although the parasite loads in both model systems were modestly reduced compared with wild type infections.The ⌬aah lesion was also introduced into a conditionally lethal ⌬hgprt/⌬xprt mutant in which viability was dependent on pharmacologic ablation of AAH by 2-deoxycoformycin.The ⌬aah/ ⌬hgprt/⌬xprt triple knock-out no longer required 2-deoxycoformycin for growth and was avirulent in mice with no persistence after a 4-week infection.These genetic studies underscore the paramount importance of AAH to purine salvage by L. donovani.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.054
GPT teacher head0.314
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations26
Published2012
Admission routes2
Has abstractyes

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