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Record W3081189737 · doi:10.29169/1927-5129.2020.16.05

Review on Melanin from Marine Actinomycetes

2020· article· en· W3081189737 on OpenAlexvenueno aff
Vasanthabharathi, S. Jayalakshmi

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2020
Typearticle
Languageen
FieldMedicine
TopicMicrobial Natural Products and Biosynthesis
Canadian institutionsnot available
Fundersnot available
KeywordsMelaninBiologyAntimicrobialMicroorganismMicrobiologyBiochemistryBacteria

Abstract

fetched live from OpenAlex

Marine microorganisms have become an important source of pharmacologically active metabolites. It is an important part of the natural products which includes secondary metabolites, antimicrobial, antitumor, anitoxidant and antiviral compounds. For the past few decades, marine organisms have been the focus of a worldwide effort for the discovery of novel natural products. Actinomycetes from the marine environment one of the novel bioactive producer. The brown-black pigment has been referred to as 'melanin ' and as ' melanin like' pigment. It has been shown to protect micro-organisms against U-V radiation, enzymatic lysis, oxidants and killing by alveolar macrophages. Melanin has an immense biotechnological application, but understanding the importance and novelty of melanin from marine actinomycete is very little. At this juncture, this review briefly describing the importance melanin from marine actinomycetes.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.039
GPT teacher head0.272
Teacher spread0.233 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations12
Published2020
Admission routes1
Has abstractyes

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