Evidence map›Paper›PMID 31237360›Full record

ArticleJournal of computational chemistry2019

DelPhi Suite: New Developments and Review of Functionalities.

Chuan Li, Zhe Jia, Arghya Chakravorty, Swagata Pahari, Yunhui Peng, Sankar Basu, Mahesh Koirala, Shailesh Kumar Panday, Marharyta Petukh, Lin Li and 1 more

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Sources of non-Arrhenius electron transport in bacterial nanowires.Physical chemistry chemical physics : PCCP · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Protein pJournal of chemical theory and computation · 2022
    Article
  18. Article
  19. Article
  20. Prediction of protein pChemical science · 2022
    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

11 authors.

Chuan LiDepartment of Mathematics, West Chester University of Pennsylvania, West Chester, Pennsylvania, 19383.
Zhe JiaDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina, 29634.
Arghya ChakravortyDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina, 29634.
Swagata PahariDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina, 29634.
Yunhui PengDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina, 29634.
Sankar BasuDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina, 29634.
Mahesh KoiralaDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina, 29634.
Shailesh Kumar PandayDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina, 29634.
Marharyta PetukhDepartment of Biology, Presbyterian College, Clinton, South Carolina, 29325.
Lin LiDepartment of Physics, University of Texas at EI Paso, Texas, 79968.
Emil AlexovDepartment of Physics and Astronomy, Clemson University, Clemson, South Carolina, 29634.ORCID 0000-0001-5346-0156

Funding

New Generation DelPhi: large systems and beyond electrostaticsR01GM093937 · NIGMS · CLEMSON UNIVERSITY · PI ALEXOV, EMIL GEORGIEV · 2010 to 2023
$4.3M
NIGMS NIH HHS R01 GM093937NIGMS NIH HHS R01GM093937
6 · The paper itself

Abstract

Electrostatic potential, energies, and forces affect virtually any process in molecular biology, however, computing these quantities is a difficult task due to irregularly shaped macromolecules and the presence of water. Here, we report a new edition of the popular software package DelPhi along with describing its functionalities. The new DelPhi is a C++ object-oriented package supporting various levels of multiprocessing and memory distribution. It is demonstrated that multiprocessing results in significant improvement of computational time. Furthermore, for computations requiring large grid size (large macromolecular assemblages), the approach of memory distribution is shown to reduce the requirement of RAM and thus permitting large-scale modeling to be done on Linux clusters with moderate architecture. The new release comes with new features, whose functionalities and applications are described as well. © 2019 The Authors. Journal of Computational Chemistry published by Wiley Periodicals, Inc.

Indexed as

SoftwareStatic Electricitycomputer code parallelizationDelPhidielectric constantelectrostaticsPoisson-Boltzmann equation

Identifiers

PMID31237360
PMCPMC6771749

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.