Evidence map›Paper›PMID 19102557›Full record

ArticleThe Journal of chemical physics2008

Charge-transport-mediated recruitment of DNA repair enzymes.

Pak-Wing Fok, Chin-Lin Guo, Tom Chou

Abstract read
In one paragraph

Article in The Journal of chemical physics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. DNA-mediated charge transport in redox sensing and signaling.Journal of the American Chemical Society · 2010
    Article
  4. 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

3 authors.

Pak-Wing FokApplied and Computational Mathematics, California Institute of Technology, Pasadena, California 91125, USA. pakwing@caltech.edu
Chin-Lin Guo
Tom Chou

Funding

HIV, TB, HSV 2--EMERGENCE OF DRUG RESISTANCER01AI041935 · NIAID · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI BLOWER, SALLY MARGARET · 1998 to 2012
$6.6M
HIV - Emergence of Drug ResistanceR56AI041935 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BLOWER, SALLY MARGARET · 2014 to 2014
$490k
NIAID NIH HHS K25 AI41935NIAID NIH HHS R01 AI041935NIAID NIH HHS R56 AI041935
6 · The paper itself

Abstract

Damaged or mismatched bases in DNA can be repaired by base excision repair enzymes (BER) that replace the defective base. Although the detailed molecular structures of many BER enzymes are known, how they colocalize to lesions remains unclear. One hypothesis involves charge transport (CT) along DNA [Yavin et al., Proc. Natl. Acad. Sci. U.S.A. 102, 3546 (2005)]. In this CT mechanism, electrons are released by recently adsorbed BER enzymes and travel along the DNA. The electrons can scatter (by heterogeneities along the DNA) back to the enzyme, destabilizing and knocking it off the DNA, or they can be absorbed by nearby lesions and guanine radicals. We develop a stochastic model to describe the electron dynamics and compute probabilities of electron capture by guanine radicals and repair enzymes. We also calculate first passage times of electron return and ensemble average these results over guanine radical distributions. Our statistical results provide the rules that enable us to perform implicit-electron Monte Carlo simulations of repair enzyme binding and redistribution near lesions. When lesions are electron absorbing, we show that the CT mechanism suppresses wasteful buildup of enzymes along intact portions of the DNA, maximizing enzyme concentration near lesions.

Indexed as

AbsorptionAdsorptionDNADNA DamageDNA Repair EnzymesElectronsElectron TransportModels, BiologicalMonte Carlo MethodProbabilityStochastic ProcessesTime FactorsDNADNA Repair Enzymes

Identifiers

PMID19102557
PMCPMC2671188

What OpenQuestion holds

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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.