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Record W4414531887 · doi:10.1021/jacs.5c12305

Conformation and Dynamics of Monomeric, Phase-Separated, and Cross-Linked Resilin Biomaterials

2025· article· en· W4414531887 on OpenAlexafffund
James Otis, Joerg Reichenwallner, Sean E. Reichheld, Aaron Au, Christopher M. Yip, Oliver P. Ernst, Simon Sharpe

Bibliographic record

VenueJournal of the American Chemical Society · 2025
Typearticle
Languageen
FieldMaterials Science
TopicSilk-based biomaterials and applications
Canadian institutionsCanada Research ChairsHospital for Sick ChildrenUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRational designDynamic light scatteringIntermolecular forceFlexibility (engineering)Molecular dynamicsParamagnetismFunction (biology)

Abstract

fetched live from OpenAlex

Resilin is an elastomeric protein found in insects that provides flexibility and locomotive function in numerous biological contexts. Recombinant resilin and resilin-derived proteins share resilin's capacity for liquid-liquid phase separation (LLPS) and formation of materials with high elasticity and biocompatibility, making it a promising candidate for regenerative medicine and tissue engineering applications. While prior research has focused on domain 1 of resilin, the role of domain 3 (D3) in resilin self-assembly and material properties is not well understood. Here, we used nuclear magnetic resonance, electron paramagnetic resonance, and small-angle X-ray scattering to study the conformation, dynamics, and intermolecular interactions of D3 as a monomer, in the phase-separated state, and as a cross-linked gel. We show that D3 remains unusually dynamic and is primarily disordered in all three states. In elucidating the mechanism of D3 LLPS, we find a complex set of electrostatic and π-based interactions complemented by the hydrophobic effect that finely tune the solution sensitivity of D3 and its capacity for LLPS. Overall, these results highlight the complex mechanisms governing resilin LLPS with implications for utilizing resilin-derived sequence features in the rational design of self-assembling biomaterials.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.323

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 studies0.0000.001
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 head0.011
GPT teacher head0.314
Teacher spread0.303 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

Explore more

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