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Record W3215875888 · doi:10.1073/pnas.2109241118

Partial synthetic models of FeMoco with sulfide and carbyne ligands: Effect of interstitial atom in nitrogenase active site

2021· article· en· W3215875888 on OpenAlexfundno aff
Linh Le, Gwendolyn A. Bailey, Anna G. Scott, Theodor Agapie

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2021
Typearticle
Languageen
FieldEnergy
TopicMetalloenzymes and iron-sulfur proteins
Canadian institutionsnot available
FundersNational Institute of General Medical SciencesResnick Sustainability Institute for Science, Energy and Sustainability, California Institute of TechnologyNatural Sciences and Engineering Research Council of CanadaCalifornia Institute of TechnologyNational Institutes of HealthNational Science Foundation
KeywordsCarbyneNitrogenaseChemistryLigand (biochemistry)SulfideStereochemistryActive siteCrystallographySulfurCarbideInorganic chemistryNitrogenNitrogen fixationOrganic chemistryCarbene

Abstract

fetched live from OpenAlex

Significance Nitrogen, a common component of biomolecules, is sourced from abundant dinitrogen in the atmosphere through conversion to ammonia. Organisms capable of fixing N 2 employ nitrogenases, metalloproteins that display metal-sulfide clusters that facilitate electron transfers and substrate activation. The site of N 2 conversion to NH 3 is FeMco (M = Mo, Fe, or V), a cluster of notable complexity in bioinorganic chemistry, which displays an unusual interstitial carbon ligand. The function of this bridging ligand remains unclear, and systematic structure-function studies with bridging C-donors are challenged by a lack of synthetic methods for analogous clusters. Herein, we report the first synthetic cluster that models a cubane moiety of FeMco bearing a chelating carbyne ligand and related structure-property studies.

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 score0.002
Threshold uncertainty score0.005

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 communication0.0000.000
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 head0.020
GPT teacher head0.261
Teacher spread0.240 · 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

Citations35
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicMetalloenzymes and iron-sulfur proteinsFrench-language works237,207