Evidence map›Paper›PMID 29096323›Full record

ReviewCurrent opinion in chemical biology2017

Recent progress in dissecting molecular recognition by DNA polymerases with non-native substrates.

Kaitlin M Pugliese, Gregory A Weiss

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2017. 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, top 88% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 1 institution in 1 country.

Kaitlin M PuglieseDepartment of Chemistry, University of California, Irvine, CA 92697, United States.
Gregory A WeissDepartment of Chemistry, University of California, Irvine, CA 92697, United States; Department of Molecular Biology and Biochemistry, 4122 Natural Sciences 1 (mailing: 1102 Natural Sciences 2), University of California, Irvine, CA 92697-2025, United States. Electronic address: gweiss@uci.edu.
University of California, Irvine · US

Funding

DNA Sequencing Using Single Molecule ElectronicsR01HG009188 · NHGRI · UNIVERSITY OF CALIFORNIA-IRVINE · PI BOYANOV, BOYAN, COLLINS, PHILIP · 2016 to 2019
$2.0M
DNA Polymerase with Single-Molecule Resolution: Activity, Inhibition, and Drug ReR01GM106957 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COLLINS, PHILIP, WEISS, GREGORY A. · 2013 to 2016
$1.1M
NHGRI NIH HHS R01 HG009188NIGMS NIH HHS R01 GM106957
6 · The paper itself

Abstract

DNA polymerases must discriminate the correct Watson-Crick base pair-forming deoxynucleoside triphosphate (dNTP) substrate from three other dNTPs and additional triphosphates found in the cell. The rarity of misincorporations in vivo, then, belies the high tolerance for dNTP analogs observed in vitro. Advances over the last 10 years in single-molecule fluorescence and electronic detection of dNTP analog incorporation enable exploration of the mechanism and limits to base discrimination by DNA polymerases. Such studies reveal transient motions of DNA polymerase during substrate recognition and mutagenesis in the context of erroneous dNTP incorporation that can lead to evolution and genetic disease. Further improvements in time resolution and noise reduction of single-molecule studies will uncover deeper mechanistic understanding of this critical, first step in evolution.

Indexed as

Crystallography, X-RayDNA-Directed DNA PolymeraseMolecular Dynamics SimulationProtein BindingDNA-Directed DNA Polymerase

Identifiers

PMID29096323
PMCPMC5723536
OpenAlexW2766933538

What OpenQuestion holds

Textmetadata
LicenceTDM
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.