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Record W2033232429 · doi:10.1074/jbc.m204257200

Designing Heterodimeric Two-stranded α-Helical Coiled-coils

2002· article· en· W2033232429 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

VenueJournal of Biological Chemistry · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCoiled coilComputer scienceComputational biologyBiophysicsBiology

Abstract

fetched live from OpenAlex

The E/K coil, a heterodimeric coiled-coil, has been designed as a universal peptide capture and delivery system for use in applications such as biosensors and as an expression and affinity purification tag. In this design, heterodimer formation is specified through the placement of charged residues at the e and g positions of the heptad repeat such that the E coil contains all glutamic acid residues at these positions, and the K coil contains all lysine residues at these positions. The affinity and stability of the E/K coil have been modified to allow a greater range of conditions for association and dissociation. Increasing the hydrophobicity of the coiled-coil core, by substituting isoleucine for valine, gave increases in stability of 2.81 and 3.73 kcal/mol (0.47 kcal/mol/substitution). Increasing the alpha-helical propensity of residues outside the core, by substituting alanine for serine, yielded increases in stability of 2.68 and 3.28 kcal/mol (0.41 and 0.45 kcal/mol/substitution). These sequence changes yielded a series of heterodimeric coiled-coils whose stabilities varied from 6.8 to 11.2 kcal/mol, greatly expanding their scope for use in protein engineering and biomedical applications.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score1.000

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)0.0010.000

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 head0.044
GPT teacher head0.292
Teacher spread0.248 · 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