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Record W2023979443 · doi:10.1002/bip.20188

Reversible assembly of helical filaments by de novo designed minimalist peptides

2004· article· en· W2023979443 on OpenAlexaff
David Frost, Christopher M. Yip, Avijit Chakrabartty

Bibliographic record

VenueBiopolymers · 2004
Typearticle
Languageen
FieldMaterials Science
TopicSupramolecular Self-Assembly in Materials
Canadian institutionsUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsChemistryPeptideBiophysicsCircular dichroismCrystallographyBiochemistry

Abstract

fetched live from OpenAlex

We have designed a series of 15 short, helical de novo peptides consisting of lysine, isoleucine, and alanine. We have termed this the KIA series. These peptides differ only in their hydrophobic interface, and thus their self-association is largely a consequence of hydrophobic interactions. One of these peptides, KIA13, forms insoluble helical fibers at specific NaCl concentrations. We have used CD spectroscopy, turbidity assays, and in situ tapping mode atomic force microscopy to characterize the reversible assembly pathway for this peptide. It is unfolded at low NaCl concentration, and forms helical, soluble fibers resembling a coiled-coil conformation at intermediate NaCl concentrations, and rope-like insoluble fibers at high NaCl concentrations. Reducing the NaCl concentration completely reverses this process. Another peptide from the KIA series specifically inhibits the formation of the insoluble KIA13 fibers, and reverses the process to some extent. This work sheds light onto protein fibrillogenesis and offers intriguing possibilities for the use of these types of peptides in drug delivery and biomaterials 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.

How this classification was reachedexpand

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.012
GPT teacher head0.257
Teacher spread0.246 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations30
Published2004
Admission routes1
Has abstractyes

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