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Record W2560327951 · doi:10.1002/cctc.201601433

Explicit Water Molecules Play a Key Role in the Mechanism of Rhodium‐Substituted Human Carbonic Anhydrase

2016· article· en· W2560327951 on OpenAlexaff
Paolo Piazzetta, Tiziana Marino, Nino Russo, Dennis R. Salahub

Bibliographic record

VenueChemCatChem · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme function and inhibition
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCarbonic anhydraseChemistryFormic acidRhodiumCatalysisMoleculeCombinatorial chemistryMetathesisCofactorRate-determining stepOrganic chemistryEnzymePolymerization

Abstract

fetched live from OpenAlex

Abstract The efficient conversion of carbon dioxide into useful products is a prime challenge to modern chemistry. An alternative route to address this challenge based on a rhodium‐substituted human carbonic anhydrase is described that can be considered the first cofactor‐independent reductase. This artificial enzyme is able to convert CO2 into formic acid, with potential applications in renewable energy. Our quantum mechanical investigation (QM/QM′ method), which considers the entire catalytic pocket (390 atoms), provides evidence that the catalytic process is governed by an energetically favored σ‐bond‐metathesis mechanism and the rate‐limiting step is the release of formic acid (11.7 kcal mol−1). Water molecules are found to play an active role during the chemical process by contributing to reduce dramatically the energy of the rate‐limiting step and favoring an efficient regeneration of the catalyst.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004

Distilled classifier scores by category (both heads)

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 communication0.0000.001
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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), 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

Citations15
Published2016
Admission routes1
Has abstractyes

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