Evidence map›Paper›PMID 42584610›Full record

ArticleJournal of the American Chemical Society2026

Fuel-Driven Catalytic Molecular Templating.

Merry Mitra, Rakesh Mukherjee, Križan Jurinović, Thomas E Ouldridge

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Merry MitraDepartment of Bioengineering and Centre for Engineering Biology, Imperial College LondonLondonSW7 2AZ, U.K.ORCID 0000-0002-7976-792X
Rakesh MukherjeeDepartment of Bioengineering and Centre for Engineering Biology, Imperial College LondonLondonSW7 2AZ, U.K.ORCID 0000-0003-1276-6137
Križan JurinovićDepartment of Bioengineering and Centre for Engineering Biology, Imperial College LondonLondonSW7 2AZ, U.K.
Thomas E OuldridgeDepartment of Bioengineering and Centre for Engineering Biology, Imperial College LondonLondonSW7 2AZ, U.K.ORCID 0000-0001-8114-8602

Funding

H2020 European Research Council 851910Royal Society RF\ERE\210246Royal Society RF\ERE\231045Royal Society URF\R\211020
6 · The paper itself

Abstract

Catalytic molecular templating, wherein a copolymer molecule serves as a sequence-specific template to propagate genetic information to a daughter copolymer, is fundamental to cells. Templating underlies DNA replication, RNA transcription, and protein translation, underpinning the molecular basis of heredity, evolution, and biological function and allowing staggering complexity to arise from simple building blocks. It has hitherto been challenging to emulate templating without highly evolved enzymes, largely due to product inhibition of catalytic turnover, which is a major challenge for templated dimerization and prohibitive for longer products. We present an enzyme-free DNA-based templated dimerization reaction enabled and controlled by a fuel strand that actively displaces the product from the template only once dimerization is complete, overcoming product inhibition. We systematically investigate design variants to optimize catalytic turnover and demonstrate information propagation through the action of distinct templates that assemble specific products from the same pool of building blocks. We also show that the fuel represents an input by which the templating can be controlled, allowing the coupling of catalytic turnover to the output of upstream DNA circuitry.

Indexed as

DNACatalysisDimerizationDNA

Identifiers

PMID42584610
PMCPMC13474929

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.