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Record W2409506420 · doi:10.1385/1-59259-184-1:231

Exploring Familial Relationships Using Multiple Sequence Alignment

2003· article· en· W2409506420 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.

Bibliographic record

VenueHumana Press eBooks · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCalcium-binding proteinEF handParvalbuminStructural motifSequence motifCalciumPeptide sequenceBiologyComputational biologyGeneticsBiochemistryChemistryGene

Abstract

fetched live from OpenAlex

Over the course of the past 30 yr, a multitude of calcium-binding proteins has been discovered that employ several unique structural motifs for calciumion binding. The first prominent family identified bound calcium via a helixloop-helix structural motif, and was coined the EF-hand binding motif, as it occurs between the E and F helices of carp parvalbumin (1). Today, the EF-hand calcium-binding family is ubiquitous, with members implicated in varied roles such as calcium signaling cell response and calcium storage. More recently, other calcium-binding motifs such as those found in annexin repeats (2), C2 domain proteins (3), and EGF domain proteins (4) have been identified. Table 1 summarizes the characteristic amino acid sequence properties of each of these domains as provided in the PROSITE protein motif recognition database (5).

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score0.571

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 head0.333
GPT teacher head0.317
Teacher spread0.016 · 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