MétaCan
Menu
Back to cohort
Record W7115206328

Enzymatic Synthesis of Key RNA Therapeutic Building Blocks Using Simple Phosphate Donors

2025· article· en· W7115206328 on OpenAlexaff

Bibliographic record

VenueResearch Explorer (The University of Manchester) · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical and Molecular Research
Canadian institutionsNatural Sciences and Engineering Research Council of Canada
Fundersnot available
KeywordsPolyphosphateNucleosideOligonucleotideNucleoside-diphosphate kinaseEnzymeNucleotideKinaseRNA
DOInot available

Abstract

fetched live from OpenAlex

The rapid emergence of RNA therapeutics has highlighted the need for more efficient, scalable and sustainable methods for their manufacture. Biocatalytic approaches hold particular promise, but rely on a secure, sustainable and low-cost supply of nucleoside triphosphate (NTP) building blocks, including those containing chemical modifications. Here we report the development of a biocatalytic approach and engineered enzymes to convert widely available nucleosides into NTPs featuring pharmaceutically relevant modifications using inexpensive phosphate donors. Importantly our strategy obviates the need for ATP as a phosphate donor that complicates NTP isolation using existing methods. To showcase the utility of our approach, we employed an engineered acid phosphatase, polyphosphate kinase and acetate kinase to produce 2′-O-methoxyethyl-ATP (2′-MOE-ATP) and 2′-fluoro-ATP, key building blocks of commercial therapeutics. Finally, we show that crude NTPs from our process can be used directly in enzymatic oligonucleotide synthesis, obviating the need for costly NTP isolation or purification steps.

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)0.001
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 score0.006
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.047
GPT teacher head0.312
Teacher spread0.265 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueResearch Explorer (The University of Manchester)Same topicBiochemical and Molecular ResearchFrench-language works237,207