Evidence map›Paper›PMID 34494437›Full record

ArticleThe journal of physical chemistry. A2021

Accurate Modeling of Excitonic Coupling in Cyanine Dye Cy3.

Mohammed I Sorour, Kurt A Kistler, Andrew H Marcus, Spiridoula Matsika

Abstract read
In one paragraph

Article in The journal of physical chemistry. A, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

  1. Article
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  7. Review
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  11. Article
  12. Studies of DNA breathing in exciton-coupled (iCy3)Proceedings of SPIE--the International Society for Optical Engineering
    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.

Mohammed I SorourDepartment of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States.
Kurt A KistlerDepartment of Chemistry, Brandywine Campus, The Pennsylvania State University, Media, Pennsylvania 19063, United States.
Andrew H MarcusDepartment of Chemistry and Biochemistry, University of Oregon, Eugene, Oregon 97403, United States.ORCID https://orcid.org/0000-0003-2109-327X
Spiridoula MatsikaDepartment of Chemistry, Temple University, Philadelphia, Pennsylvania 19122, United States.ORCID https://orcid.org/0000-0003-2773-3979

Funding

STRUCTURE AND RELATIONS OF PROTEINS AND NUCLEIC ACIDSR01GM015792 · NIGMS · UNIVERSITY OF OREGON · PI MARCUS, ANDREW HADLEY · 1985 to 2025
$10.2M
NIGMS NIH HHS R01 GM015792
6 · The paper itself

Abstract

Accurate modeling of excitonic coupling in molecules is of great importance for inferring the structures and dynamics of coupled systems. Cy3 is a cyanine dye that is widely used in molecular spectroscopy. Its well-separated excitation bands, high sensitivity to the surroundings, and the high energy transfer efficiency make it a perfect choice for excitonic coupling experiments. Many methods have been used to model the excitonic coupling in molecules with varying degrees of accuracy. The atomic transition charge model offers a high-accuracy and cost-effective way to calculating the excitonic coupling. The main focus of this work is to generate high-quality atomic transition charges that can accurately model the Cy3 dye's transition density. The transition density of the excitation of the ground to first excited state is calculated using configuration-interaction singles and time-dependent density functional theory and is benchmarked against the algebraic diagrammatic construction method. Using the transition density we derived the atomic transition charges using two approaches: Mulliken population analysis and charges fitted to the transition electrostatic potential. The quality of the charges is examined, and their ability to accurately calculate the excitonic coupling is assessed via comparison to experimental data of an artificial biscyanine construct. Theoretical comparisons to the supermolecule

Identifiers

PMID34494437
PMCPMC8765003

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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.