MétaCan
Menu
Back to cohort
Record W4414806534 · doi:10.1016/j.supmat.2025.100120

Stimuli-responsive protein hydrogels: From dynamic tuning of hydrogel mechanics to shape morphing

2025· article· en· W4414806534 on OpenAlexafffund
Hongbin Li, Qingyuan Bian

Bibliographic record

VenueSupramolecular Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSelf-healing hydrogelsMorphingSoft materialsBiomimetic materialsRational designProtein engineering

Abstract

fetched live from OpenAlex

Protein hydrogels represent a rapidly evolving class of biomaterials with significant potential in biomedicine, soft robotics, and tissue engineering. These hydrogels are uniquely engineered from natural or recombinant proteins, endowing them with biocompatibility, biodegradability, and precise molecular programmability. By integrating dynamic cross-linking mechanisms and responsive moieties, protein hydrogels can be engineered to respond to external stimuli such as temperature, pH, light, or ligands, and undergo reversible or irreversible changes in shape, volume, or mechanical properties. This review critically summarizes recent advances in the design and fabrication of stimuli-responsive protein hydrogels. Emphasis is placed on the molecular design strategies that are used to dynamically tune the mechanical properties and shape-morphing behaviors of protein hydrogels. Challenges and opportunities related to the rational engineering of next-generation stimuli-responsive protein hydrogels are also discussed.

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 categoriesMeta-epidemiology (narrow)
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 score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.006
GPT teacher head0.235
Teacher spread0.229 · 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.

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

Same venueSupramolecular MaterialsSame topicAdvanced Materials and MechanicsFrench-language works237,207