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Record W2143437919 · doi:10.5376/cmb.2014.04.0013

In-silico analysis predicting the best model for photosystemIID2 Protein of Spinaciaolearacea using multiple templates

2014· article· en· W2143437919 on OpenAlexvenueno aff
Pranati Swain

Bibliographic record

VenueComputational Molecular Biology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolomics and Mass Spectrometry Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIn silicoUniProtTemplateSpinachComputational biologyProtein structure predictionComputer scienceChemistryBioinformaticsProtein structureBiologyBiochemistryGene

Abstract

fetched live from OpenAlex

Spinach is a natural medicine against diabetes, prostate cancer, asthma, constipation, high blood pressure. Spinach acts as anti-inflammatory, antiproliferative, antioxidative. In this study the PHOTOSYSTEMII D2 protein has considered for in-silico analysis. Models of the protein were generated using 1IZLD, 3A0B, 3WU2, 4IL6 templates. The sequence retrieved from uniprot, templates were predicted by usingblastP tool, physico-chemical analysis showed the properties of protein using prot-param tool , secondary structure prediction showed helices, turns and sheets using CFFSP server, homologous models were generated using modeller9.12 tool, backbone confirmation was performed by using Rampage server and finally the best model generated by using 3A0B template having 94.0% of residues lying in favored region, 2.0% residues lying in outlier region, with 91% of query coverage and 95% of identity with photosystemQ (B) protein of Thermosynechocuccus vulcanus.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.019
GPT teacher head0.300
Teacher spread0.282 · 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 designSimulation or modeling
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

Citations2
Published2014
Admission routes1
Has abstractyes

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