Evidence map›Paper›PMID 29870236›Full record

ArticleJournal of chemical theory and computation2018

Sequence-Dependent Three Interaction Site Model for Single- and Double-Stranded DNA.

Debayan Chakraborty, Naoto Hori, D Thirumalai

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
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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.

Debayan ChakrabortyDepartment of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States.ORCID http://orcid.org/0000-0003-4339-5818
Naoto HoriDepartment of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States.ORCID http://orcid.org/0000-0003-0658-8266
D ThirumalaiDepartment of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States.ORCID http://orcid.org/0000-0003-1801-5924

Funding

Computational Approaches to Single Molecule Force SpectroscopyR01GM089685 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI THIRUMALAI, DEVARAJAN · 2010 to 2020
$2.9M
NIGMS NIH HHS R01 GM089685
6 · The paper itself

Abstract

We develop a robust coarse-grained model for single- and double-stranded DNA by representing each nucleotide by three interaction sites (TIS) located at the centers of mass of sugar, phosphate, and base. The resulting TIS model includes base-stacking, hydrogen bond, and electrostatic interactions as well as bond-stretching and bond angle potentials that account for the polymeric nature of DNA. The choices of force constants for stretching and the bending potentials were guided by a Boltzmann inversion procedure using a large representative set of DNA structures extracted from the Protein Data Bank. Some of the parameters in the stacking interactions were calculated using a learning procedure, which ensured that the experimentally measured melting temperatures of dimers are faithfully reproduced. Without any further adjustments, the calculations based on the TIS model reproduce the experimentally measured salt and sequence-dependence of the size of single-stranded DNA (ssDNA), as well as the persistence lengths of poly(dA) and poly(dT) chains. Interestingly, upon application of mechanical force, the extension of poly(dA) exhibits a plateau, which we trace to the formation of stacked helical domains. In contrast, the force-extension curve (FEC) of poly(dT) is entropic in origin and could be described by a standard polymer model. We also show that the persistence length of double-stranded DNA, formed from two complementary ssDNAs, is consistent with the prediction based on the worm-like chain. The persistence length, which decreases with increasing salt concentration, is in accord with the Odijk-Skolnick-Fixman theory intended for stiff polyelectrolyte chains near the rod limit. Our model predicts the melting temperatures of DNA hairpins with excellent accuracy, and we are able to recover the experimentally known sequence-specific trends. The range of applications, which did not require adjusting any parameter after the initial construction based solely on PDB structures and melting profiles of dimers, attests to the transferability and robustness of the TIS model for ssDNA and dsDNA.

Indexed as

DNADNA, Single-StrandedHydrogen BondingModels, MolecularNucleic Acid ConformationStatic ElectricityTemperatureThermodynamicsDNADNA, Single-Stranded

Identifiers

PMID29870236
PMCPMC6423546

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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.