Evidence map›Paper›PMID 36144770›Full record

ArticleMolecules (Basel, Switzerland)2022

Macrophage-Targeted Punicalagin Nanoengineering to Alleviate Methotrexate-Induced Neutropenia: A Molecular Docking, DFT, and MD Simulation Analysis.

Ritu Karwasra, Shaban Ahmad, Nagmi Bano, Sahar Qazi, Khalid Raza, Surender Singh, Saurabh Varma

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. TargetingPharmaceuticals (Basel, Switzerland) · 2025
    Article
  9. Lucidin fromPharmaceuticals (Basel, Switzerland) · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. NMolecular and cellular biochemistry · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 3 institutions in 1 country.

Ritu KarwasraICMR-National Institute of Pathology, Safdarjung Hospital Campus, New Delhi 110029, India.
Shaban AhmadDepartment of Computer Science, Jamia Millia Islamia, New Delhi 110025, India.ORCID 0000-0001-9832-2830
Nagmi BanoDepartment of Computer Science, Jamia Millia Islamia, New Delhi 110025, India.
Sahar QaziDepartment of Computer Science, Jamia Millia Islamia, New Delhi 110025, India.
Khalid RazaDepartment of Computer Science, Jamia Millia Islamia, New Delhi 110025, India.ORCID 0000-0002-3646-6828
Surender SinghDepartment of Pharmacology, All India Institute of Medical Science (AIIMS), New Delhi 110029, India.
Saurabh VarmaICMR-National Institute of Pathology, Safdarjung Hospital Campus, New Delhi 110029, India.
Jamia Millia Islamia · INSafdarjang Hospital · INAll India Institute of Medical Sciences · IN

Funding

Indian Council of Medical Research 3/1/3PDF(19)/2019-HRD
6 · The paper itself

Abstract

Punicalagin is the most bioactive pomegranate polyphenol with high antioxidant and free-radical scavenging activity and can potentially cure different ailments related to the cardiovascular system. The current research work was envisioned to predict the targeting efficiency of punicalagin (PG) nanoparticles to the macrophages, more specifically to bone marrow macrophages. For this, we selected mannose-decorated PLGA-punicalagin nanoparticles (Mn-PLGA-PG), and before formulating this nanocarrier in laboratory settings, we predicted the targeting efficiency of this nanocarrier by in silico analysis. The analysis proceeded with macrophage mannose receptors to be acquainted with the binding affinity and punicalagin-based nanocarrier interactions with this receptor. In silico docking studies of macrophage mannose receptors and punicalagin showed binding interactions on its surface. PG interacted with hydrogen bonds to the charged residue ASP668 and GLY666 and polar residue GLN760 of the Mn receptor. Mannose with a docking score of -5.811 Kcal/mol interacted with four hydrogen bonds and the mannose receptor of macrophage, and in PLGA, it showed a -4.334 Kcal/mol docking score. Further, the analysis proceeded with density functional theory analysis (DFT) and HOMO-LUMO analysis, followed by an extensive 100 ns molecular dynamics simulation to analyse the trajectories showing the slightest deviation and fluctuation. While analysing the ligand and protein interaction, a wonderful interaction was found among the atoms of the ligand and protein residues. This computational study confirms that this nanocarrier could be a promising lead molecule to regulate the incidence of drug-induced neutropenia. Furthermore, experimental validation is required before this can be stated with complete confidence or before human use.

Indexed as

MethotrexateNeutropeniaAntioxidantsHumansHydrolyzable TanninsLigandsMacrophagesMannoseMolecular Docking SimulationMolecular Dynamics SimulationPolyphenolsAntioxidantsHydrolyzable TanninsLigandsMannoseMethotrexatePolyphenolspunicalaginmannoseMD simulationmolecular dockingnanoparticlespunicalagin

Identifiers

PMID36144770
PMCPMC9505199
OpenAlexW4296358804

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.