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Record W4414524388 · doi:10.1021/jacs.5c10056

DNA-Templated Assembly of Metalloprotein Mimics with Hydrolytic Activity

2025· article· en· W4414524388 on OpenAlexafffund
Fangzhou Zhao, Ziyi Sun, Hanadi F. Sleiman

Bibliographic record

VenueJournal of the American Chemical Society · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical Synthesis and Analysis
Canadian institutionsMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanada Foundation for Innovation
KeywordsMetalloproteinTrimerPeptideEnzymeCovalent bondFolding (DSP implementation)Peptide sequenceHydrolysisProtein structure

Abstract

fetched live from OpenAlex

Metalloproteins perform a wide range of biological and chemical functions, but elucidating their sequence-function relationships is difficult due to their complex folding pathways and various interactions involved. In this study, we use a covalently branched DNA trimer to scaffold the assembly of diverse peptide secondary structures into higher-order metalloprotein mimics. These structures exhibit zinc ion binding and hydrolytic activity, resembling the natural enzyme carbonic anhydrase (CA). By independently addressing each peptide fragment, we constructed a diverse library of protein mimics, enabling a systematic, high-throughput exploration of peptide structure-function relationships. This strategy expands the design potential beyond conventional coiled-coil motifs, offering a powerful methodology for constructing functional protein-based architectures.

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 score0.001
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.005
GPT teacher head0.236
Teacher spread0.231 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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