Evidence map›Paper›PMID 21067134›Full record

ArticleThe journal of physical chemistry. A2010

Noncovalent interactions in extended systems described by the effective fragment potential method: theory and application to nucleobase oligomers.

Debashree Ghosh, Dmytro Kosenkov, Vitalii Vanovschi, Christopher F Williams, John M Herbert, Mark S Gordon, Michael W Schmidt, Lyudmila V Slipchenko, Anna I Krylov

Abstract read
In one paragraph

Article in The journal of physical chemistry. A, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Polarizable embedding for simulating redox potentials of biomolecules.Physical chemistry chemical physics : PCCP · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Fragme∩t: An Open-Source Framework for Multiscale Quantum Chemistry Based on Fragmentation.Wiley interdisciplinary reviews. Computational molecular science
    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

9 authors.

Debashree GhoshDepartment of Chemistry, University of Southern California, Los Angeles, California 90089-0482, United States.
Dmytro Kosenkov
Vitalii Vanovschi
Christopher F Williams
John M Herbert
Mark S Gordon
Michael W Schmidt
Lyudmila V Slipchenko
Anna I Krylov

Funding

Quantum Computation with Effective Fragment PotentialR44GM076847 · NIGMS · Q-CHEM, INC. · PI KONG, JING · 2009 to 2010
$750k
NIGMS NIH HHS R44 GM076847
6 · The paper itself

Abstract

The implementation of the effective fragment potential (EFP) method within the Q-CHEM electronic structure package is presented. The EFP method is used to study noncovalent π-π and hydrogen-bonding interactions in DNA strands. Since EFP is a computationally inexpensive alternative to high-level ab initio calculations, it is possible to go beyond the dimers of nucleic acid bases and to investigate the asymptotic behavior of different components of the total interaction energy. The calculations demonstrated that the dispersion energy is a leading component in π-stacked oligomers of all sizes. Exchange-repulsion energy also plays an important role. The contribution of polarization is small in these systems, whereas the magnitude of electrostatics varies. Pairwise fragment interactions (i.e., the sum of dimer binding energies) were found to be a good approximation for the oligomer energy.

Indexed as

DimerizationDNAHydrogen BondingModels, MolecularQuantum TheoryStatic ElectricityDNA

Identifiers

PMID21067134
PMCPMC2997142

What OpenQuestion holds

Textmetadata
LicenceTDM
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.