Evidence map›Paper›PMID 21870196›Full record

ArticleJournal of molecular modeling2012

Computational studies on full-length Ku70 with DNA duplexes: base interactions and a helical path.

Shaowen Hu, Francis A Cucinotta

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2012. 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
–field-weighted citation impact, top 94% 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, 2 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

2 authors at 2 institutions in 1 country.

Shaowen HuDivision of Space Life Sciences, Universities Space Research Association, Houston, TX 77058, USA. Shaowen.Hu-1@nasa.gov
Francis A Cucinotta
Johnson Space Center · USUniversities Space Research Association · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Ku70/80 heterodimer is among the first responding proteins to recognize and bind the DNA double strand breaks (DSBs). Once Ku is loaded at the DSB, it works as a scaffold to recruit other repair factors in non-homologous end joining thereby facilitates the following repair processes. In this work, we characterized the detailed interactions and binding free energies between a Ku70 subunit and several DNA duplexes, by using some well-established computational methods. The results reveal that the structure of the protein may suffer certain contractions without the company of Ku80, and may experience large conformational changes in the presence of different DNA duplexes. Notably, we observe the closest interactions between Ku70 and DNA can be easily strengthened to form H-bonds with the bases in the minor groove, which is unexpected. However, this finding is supported by the presence of a similar bond between Ku80 and DNA in the published crystal structure (PDB code 1JEY). We suggest that these interactions are responsible for the observed pausing sites when Ku translocates along DNA and the subtle difference in binding with AT- and GC-rich DNA ends. Additionally, simulations indicate the inner surface of the ring encircling the DNA is not flat, but contains a delicate clamp like structure, which is ideal to grip the two strands of DNA in the minor groove and confine the movement of the duplex in a unique helical path.

Indexed as

Computer SimulationAntigens, NuclearBase SequenceBinding SitesDNADNA-Binding ProteinsDNA Breaks, Double-StrandedDNA RepairEukaryotaHydrogen BondingKineticsKu AutoantigenModels, MolecularMolecular Sequence DataNucleic Acid ConformationProtein BindingAntigens, NuclearDNADNA-Binding ProteinsKu AutoantigenProtein Subunits

Identifiers

PMID21870196
OpenAlexW1969705101

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.