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Record W2904505084 · doi:10.2217/fvl-2018-0149

Complete Genome Amplification and Sequencing of DENV-2 Pakistani Isolates: Analysis Reveals Molecular Evolution of DENV-2

2018· article· en· W2904505084 on OpenAlexaff
Amjad Ali, Habib Ahmad, Mounir G. AbouHaidar, Muhammad Idrees, Ijaz Ali

Bibliographic record

VenueFuture Virology · 2018
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGenBankBiologyGenomeGeneGeneticsVirologyDengue virusGenotypePhylogenetic treeSerotypeDengue fever

Abstract

fetched live from OpenAlex

Aim: This study was aimed to amplify, characterize and analyze complete genomes of dengue virus serotype-2 (DENV-2) Pakistani isolates. Patients & methods: Complete genomes of DENV-2 (n = 4) in nine overlapping fragments from two dengue outbreaks (2011 and 2013) were sequenced; deposited in GenBank (Punjab Isolates: KM217157 and KM217156; Swat Isolates: KM217158 and KJ701507) and characterized using specific primers, we designed. Results: Analysis clustered Pakistani isolates with the cosmopolitan genotypes and further indicated that codons 65 of C, 155 of PrM, 203 of E and 254 of NS1 genes were under negative selection pressure. A substitution of alanine with proline in NS5 gene at nucleotide position 885 in Swat isolates was observed. Conclusion: DENV-2 is spreading to other parts of Pakistan with the possible adaptability of the virus molecularly.

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 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 score0.970
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.009
GPT teacher head0.259
Teacher spread0.250 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2018
Admission routes1
Has abstractyes

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