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Record W283545491

Methods of Protein Characterization

2011· article· en· W283545491 on OpenAlexvenueno aff
Michael Tieu

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsnot available
Fundersnot available
KeywordsCharacterization (materials science)Computer scienceNanotechnologyMaterials science
DOInot available

Abstract

fetched live from OpenAlex

AppA is a protein in Rhodobacter sphaeroides that has been the topic of debate among scientists for the past several years with regards to the structure of the protein. It has been known that AppA has an effect on the activity of PpsR, which controls the gene expression of photosystems. There are two conflicting experimental structures (2IYG and 1YRX) of the protein, both of which claim to be taken in the dark phase (meaning when there is no light shining on the protein). The debate is about whether some slight differences in the structures represent the shift from the dark state to the light-induced state. It is known that in the light state, AppA releases PpsR and undergoes a dimerization event with itself. We observed the interactions within an experimental structure of the AppA dimer and compared them to the 2IYG and 1YRX structures. Most scientists have focused on the positioning of Trp104 to explain the functional changes of AppA upon light excitation, but our analysis of experimental structures suggests that the dimerization could play a larger role in the functional mechanism of AppA.

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)0.002
metaresearch head score (Gemma)0.003
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: Methods · Consensus signal: Methods
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0150.018

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 head0.016
GPT teacher head0.225
Teacher spread0.209 · 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
GenreMethods

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
Published2011
Admission routes1
Has abstractyes

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Same venueSound Ideas (University of Puget Sound)Same topicMicrobial Metabolic Engineering and BioproductionFrench-language works237,207