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Record W1189320695 · doi:10.1093/femsyr/fov078

Identification and characterization of lipases from<i>Malassezia restricta</i>, a causative agent of dandruff

2015· article· en· W1189320695 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFEMS Yeast Research · 2015
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsNautilus Biosciences (Canada)University of Prince Edward Island
FundersAtlantic Canada Opportunities Agency
KeywordsDandruffMalasseziaLipaseBiologyPopulationBiochemistryEnzymeChemistryMicrobiologyShampooOrganic chemistryMedicine

Abstract

fetched live from OpenAlex

Dandruff, a skin disorder affecting 50% of the world population, is linked with proliferation of lipophilic yeasts of the genus Malassezia (particularly Malassezia globosa and M. restricta). Most Malassezia species show a unique lipid dependency and require external lipids for growth. Genome mining of the incomplete M. restricta genome led to the identification of eight lipase sequences. Sequences representing the class 3 and LIP lipase families were used to clone the lipases MrLip1, MrLip2 and MrLip3, recombinantly expressed in Pichia pastoris, and tested for their activity using mono-, di- and triacylglycerol substrates. Hydrolysis by the M. restricta lipase MrLip1 and MrLip2 (family class 3) was limited to the mono- and diacylglycerol, while MrLip3 (family LIP) hydrolyzed all three substrates. This result confirms that Malassezia family LIP lipases are responsible for the hydrolysis of triacylglycerols, the main component of human sebum. Furthermore, the information regarding lipases from M. restricta presented here might aid in the search for anti-dandruff agents.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.113
GPT teacher head0.391
Teacher spread0.278 · 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