Evidence map›Paper›PMID 41164780›Full record

ReviewPure and applied chemistry. Chimie pure et appliquee2025

Unlocking the chemistry facilitated by enzymes that process nucleic acids using quantum mechanical and combined quantum mechanics-molecular mechanics techniques.

Dylan J Nikkel, Stacey D Wetmore

Abstract readReview
In one paragraph

Review in Pure and applied chemistry. Chimie pure et appliquee, 2025. 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

2 authors.

Dylan J NikkelDepartment of Chemistry and Biochemistry, University of Lethbridge, T1K 3M4, Lethbridge, Alberta, Canada.ORCID https://orcid.org/0000-0003-3243-9686
Stacey D WetmoreDepartment of Chemistry and Biochemistry, University of Lethbridge, T1K 3M4, Lethbridge, Alberta, Canada.ORCID https://orcid.org/0000-0002-5801-3942

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diverse cellular functions of nucleic acids are made possible by enzymes that catalyze cleavage of glycosidic (nucleobase-sugar) and phosphodiester bonds. Despite advancements in experimental biochemical methods, critical information about such enzyme-catalyzed reactions is difficult to obtain from traditional experiments. However, computational quantum mechanical (QM) methods can provide atomic level details of catalytic pathways that are complementary to experimental data. This perspective highlights various QM techniques used to advance our understanding of enzymes that process nucleic acids. First, select DNA glycosylases are discussed to showcase how QM calculations on nucleoside/tide and small molecule complexes uncover roles of active site interactions and the preferred order of reaction steps along DNA repair pathways. Furthermore, the ability of calculations on nucleic acid-enzyme complexes that combine QM methods with molecular mechanics (MM) force fields to challenge traditional views of enzyme function and lead to consensus for mechanistic pathways is illustrated. Subsequently, QM-based studies of select nucleases are discussed to highlight how this methodology can discern the various strategies enzymes use to cleave nucleic acid backbones. Overall, this contribution underscores the value in combining QM-based computational work with experimental studies to uncover enzyme-facilitated nucleic acid chemistry to be harnessed in future medicinal, biotechnological and materials applications.

Indexed as

CatalysisenzymesQM/MMquantum chemistryquantum science and technologyreaction mechanisms

Identifiers

PMID41164780
PMCPMC12560632

What OpenQuestion holds

Textmetadata
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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.