Evidence map›Paper›PMID 35790576›Full record

ArticleJournal of molecular modeling2022

A new perspective on the modeling and topological characterization of H-Naphtalenic nanosheets with applications.

Asad Ullah, Aurang Zeb, Shahid Zaman

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Article in Journal of molecular modeling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Asad Ullah *Department of Mathematical Sciences, Karakoram International University Gilgit-Baltistan, Gilgit, 15100, Pakistan. dr.asadullah@kiu.edu.pk.ORCID http://orcid.org/0000-0003-1815-8538
Aurang Zeb *Department of Mathematical Sciences, Karakoram International University Gilgit-Baltistan, Gilgit, 15100, Pakistan.
Shahid Zaman *Department of Mathematics, University of Sialkot, Sialkot, 51310, Pakistan.

Funding

Higher Education Commision, Pakistan 20-11682/NRPU/R&D/HEC/2020
6 · The paper itself

Abstract

In the past few years, two-dimensional (2D) layered nanomaterials have greatly attracted the scientific community. Among 2D nanomaterials, the porphyrin-based Naphtalenic nanosheets have been the subject of intense research due to their utilization in photo-dynamic therapy and nanodevices. New technologies based on nanomaterials or Naphtalenic nanosheet are advantageous in overcoming the problems in conventional drug delivery like poor solubility, toxicity and poor release pattern of drugs. In chemical network theory, various molecular descriptors are used to predict the chemical properties of molecules; these molecular descriptors are found to be very useful for Quantitative Structure-Activity/ Quantitative Structure-Property (QSAR/QSPR) relationship analysis in materials engineering, chemical and pharmaceutical industries. Researchers have computed the molecular descriptors for various nanostructures; however, despite intense research, the topology of nanostructures is not yet well understood. Specially, to our knowledge, the computation of topological indices for the line graph of subdivision graph of H-Naphtalenic nanosheet has not been discussed so far, which may open new perspectives for a more accurate and reliable topological characterization of this nanosheet.In this article, we employed some important degree-based topological indices to study the chemical structure of Naphtalenic nanosheet as a chemical network for QSAR/QSPR analysis. We have computed these degree-based topological indices for the line graph of subdivision graph of H-Naphtalenic nanosheet and derived formulas for them. Based on the derived formulas, numerical results are obtained and the physical and chemical properties of the under study nanosheet are investigated.

Indexed as

NanostructuresPharmaceutical PreparationsSolubilityPharmaceutical PreparationsGraph theoryMathematical chemistryNanostructuresQSARQSPRTopological indices

Identifiers

PMID35790576
PMCPMC9255509

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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.