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Record W3138820353 · doi:10.1021/jacsau.0c00124

Protometabolic Reduction of NAD<sup>+</sup> with α-Keto Acids

2021· article· en· W3138820353 on OpenAlexafffund
Shibaji Basak, Serge Nader, Sheref S. Mansy

Bibliographic record

VenueJACS Au · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOrigins and Evolution of Life
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaSimons Foundation
KeywordsNAD+ kinaseProtocellChemistryDecarboxylationCatabolismReactivity (psychology)Oxidative decarboxylationBiochemistryStereochemistryMetabolismEnzymeCatalysis

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Deciphering the origins of the chemistry that supports life has frequently centered on determining prebiotically plausible paths that produce the molecules found in biology. What has been less investigated is how the energy released from the breakdown of foodstuff is coupled to the persistence of the protocell. To gain better insight into how such coupled chemistry could have emerged prebiotically, we probed the reactivity of the ribodinucleotide NAD + with small organic molecules that were previously identified as potential constituents of protometabolism. We find that NAD + is readily reduced nonenzymatically by α-keto acids, such as pyruvate and oxaloacetate, during oxidative decarboxylation. In the presence of FAD and a terminal electron acceptor, the consumption of α-keto acids by NAD + initiates a plausible prebiotic electron transport chain. The observed reactivity suggests that components of the RNA world were capable of initiating the chemistry needed to capture the energy released from catabolism to drive anabolism.

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 score0.003

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 head0.010
GPT teacher head0.242
Teacher spread0.232 · 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

Citations26
Published2021
Admission routes2
Has abstractyes

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