Evidence map›Paper›PMID 37222615›Full record

ArticleAntimicrobial agents and chemotherapy2023

Pre-Steady-State Kinetic Characterization of an Antibiotic-Resistant Mutant of Staphylococcus aureus DNA Polymerase PolC.

Rachel Nelson-Rigg, Sean P Fagan, William J Jaremko, Janice D Pata

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 67% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Rachel Nelson-RiggWadsworth Center, New York State Department of Health, Albany, New York, USA.
Sean P FaganWadsworth Center, New York State Department of Health, Albany, New York, USA.
William J JaremkoWadsworth Center, New York State Department of Health, Albany, New York, USA.
Janice D PataWadsworth Center, New York State Department of Health, Albany, New York, USA.ORCID 0000-0001-5999-5442
New York State Department of Health · US

Funding

Structural and Mechanistic Studies of Error-Prone PolymerasesR01GM080573 · NIGMS · WADSWORTH CENTER · PI PATA, JANICE D · 2008 to 2018
$2.6M
NIGMS NIH HHS R01 GM080573
6 · The paper itself

Abstract

The emergence and spread of antibiotic resistance in bacterial pathogens are serious and ongoing threats to public health. Since chromosome replication is essential to cell growth and pathogenesis, the essential DNA polymerases in bacteria have long been targets of antimicrobial development, although none have yet advanced to the market. Here, we use transient-state kinetic methods to characterize the inhibition of the PolC replicative DNA polymerase from Staphylococcus aureus by 2-methoxyethyl-6-(3'-ethyl-4'-methylanilino)uracil (ME-EMAU), a member of the 6-anilinouracil compounds that specifically target PolC enzymes, which are found in low-GC content Gram-positive bacteria. We find that ME-EMAU binds to S. aureus PolC with a dissociation constant of 14 nM, more than 200-fold tighter than the previously reported inhibition constant, which was determined using steady-state kinetic methods. This tight binding is driven by a very slow off rate of 0.006 s

Indexed as

Anti-Bacterial AgentsStaphylococcus aureusDNA-Directed DNA PolymeraseKineticsNucleotidesAnti-Bacterial AgentsDNA-Directed DNA PolymeraseNucleotidesanilinouracilDNA polymerasedrug resistance mechanismsenzyme kineticskineticsresistance mechanismStaphylococcus aureus

Identifiers

PMID37222615
PMCPMC10269047
OpenAlexW4377938883

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.