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Record W2166780974 · doi:10.1002/bip.20227

The structure of “unstructured” regions in peptides and proteins: Role of the polyproline II helix in protein folding and recognition*

2005· review· en· W2166780974 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

VenueBiopolymers · 2005
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsPolyproline helixChemistryFolding (DSP implementation)Protein foldingHelix (gastropod)BiophysicsComputational biologyPeptideBiochemistry

Abstract

fetched live from OpenAlex

Classical descriptions of the three-dimensional shapes of proteins usually invoke three main structures: alpha-helix, beta-sheet, and beta-turn. More recently, the polyproline II (PPII) structure has been implicated in diverse biological activities including signal transduction, transcription, cell motility, and immune response. Concurrently, evidence is accumulating that PPII structure has a significant role in the unfolded states of proteins. In this article, we connect the structural properties of PPII helices to their roles in protein recognition and protein unfolded states. The properties unique to the PPII conformation are linked to the exploitation of this structure for the molecular recognition of proteins, using peptide ligands of the Src homology 3 (SH3) domain as an example. The evidence supporting a role for PPII conformation in protein-unfolded states is also presented in the context of the forces that may stabilize the PPII conformation in unfolded polypeptides.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.926
Threshold uncertainty score0.755

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 head0.252
Teacher spread0.243 · 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