Evidence map›Paper›PMID 32918237›Full record

ArticleJournal of molecular modeling2020

Do weak interactions affect the biological behavior of DNA? A DFT study of CpG island-like chains.

Jorge Gutiérrez-Flores, Enrique Hernández-Lemus, Fernando Cortés-Guzmán, Estrella Ramos

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2020. 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
0.3field-weighted citation impact, top 46% 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, 5 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 2 institutions in 1 country.

Jorge Gutiérrez-FloresInstituto de Investigaciones en Materiales, Universidad Nacional Autónoma de México, Circuito Exterior s/n, Ciudad Universitaria, Coyoacán, 04510, CDMX, México.
Enrique Hernández-LemusComputational Genomics, National Institute of Genomic Medicine, Mexico City, Mexico.
Fernando Cortés-GuzmánInstituto de Química, Universidad Nacional Autónoma de México, Circuito Exterior s/n, Ciudad Universitaria, Coyoacán, 04510, CDMX, México.
Estrella RamosInstituto de Investigaciones en Materiales, Universidad Nacional Autónoma de México, Circuito Exterior s/n, Ciudad Universitaria, Coyoacán, 04510, CDMX, México. estrella@materiales.unam.mx.ORCID http://orcid.org/0000-0002-5490-3518
Universidad Nacional Autónoma de México · MXNational Institute of Genomic Medicine · MX

Funding

Consejo Nacional de Ciencia y Tecnología 336100Consejo Nacional de Ciencia y Tecnología SEP-CONACYT-2016-285544 and FRONTERAS-2017-2115DGTIC-UNAM LANCAD-UNAM-DGTIC-194DGTIC-UNAM LANCAD-UNAM-DGTIC- 225PAPIIT-UNAM IG100320
6 · The paper itself

Abstract

The origin, stability, and contribution to the formation of noncovalent interactions, such as hydrogen bonds and π - π stacking, have been already widely discussed. However, there are few discussions about the relevance of these weak interactions in DNA performance. In this work, we seek to shed light on the effect of hydrogen bonds and π - π stacking interactions on the biological behavior of DNA through the description of these intermolecular forces in CpG island-like (GC-rich) chains. Furthermore, we made some comparisons with TATA box-like (TA-rich) chains in order to describe hydrogen bond and π - π stacking interactions as a function of the DNA sequence. For hydrogen bonds, we found that there is not a significant effect related to the number of base pairs. Whereas for π - π stacking interactions, the energy tended to decrease as the number of base pairs increased. We observed anticooperative effects for both hydrogen bonds and π - π stacking interactions. These results are in contrast with those of TATA box-like chains since cooperative and additive effects were found for both hydrogen bonds and π - π stacking, respectively. Based on the chemical hardness and density of states, we can conclude that proteins may interact easier with GC-rich chains. We conclude that regardless of the chain length, a protein could interact more easily with these genomics regions because the π - π stacking energies did not increase as a function of the number of base pairs, making, for the first time, a first approximation of the influence of noncovalent interaction on DNA behavior. We did all this work by means of DFT framework included in the DMol

Indexed as

CpG IslandsDensity Functional TheoryAlgorithmsDNAHydrogen BondingModels, MolecularModels, TheoreticalMolecular ConformationMolecular StructureDNACooperativityDFTDNAHydrogen bondsPromoter regionsπ − π stacking

Identifiers

PMID32918237
OpenAlexW3086021812

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Registered trials

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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.