MétaCan
Menu
Back to cohort
Record W4387501723 · doi:10.26434/chemrxiv-2023-jdhxk

Metal Ions Turn on a Stereoselective Nonenzymatic Reduction of Keto Acids by the Coenzyme NADH

2023· preprint· en· W4387501723 on OpenAlex
Robert J. Mayer, Joseph Moran

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemRxiv · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicOrigins and Evolution of Life
Canadian institutionsUniversity of Ottawa
FundersVolkswagen FoundationUniversité de StrasbourgDeutsche ForschungsgemeinschaftEquipex
KeywordsCofactorNAD+ kinaseChemistryStereoselectivityEnzymeMetabolismRedoxStereochemistryMoleculeNicotinamide adenine dinucleotideMetalNicotinamideChirality (physics)Coenzyme ABiochemistryCatalysisOrganic chemistryReductase

Abstract

fetched live from OpenAlex

The relationship between genetic molecules and metabolism is one of the longest standing problems for the origin of life. A central molecule within early metabolism is the coenzyme nicotinamide adenine dinucleotide (NAD(H)), a modified ribonucleotide and reducing agent. Yet, without enzymes, NADH does not reduce carbonyl compounds, its primary metabolic substrates, leading to an apparent paradox regarding its role in the evolution of metabolism. We now report that abundant metal ions turn on a nonenzymatic, stereoselective, and potentially primordial reduction reaction of keto acids by NADH. Kinetic, mechanistic, and computational studies elucidate the reaction mechanism and the way stereochemistry is transferred. Complexes of metals with RNA-derived coenzymes could have mediated the transition from inorganic to organic reducing agents and the propagation of chirality in early metabolism.

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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.845

Codex and Gemma teacher scores by category

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 integrity0.0000.001
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 head0.029
GPT teacher head0.275
Teacher spread0.247 · 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