Quantitative structure–property relationship modeling and ranking of necrotizing fasciitis drugs via degree-based topological indices

This integrated approach demonstrates the utility of topological indices in predicting drug properties, prioritizing candidates, and supporting the rational design and repurposing of NF therapeutics.

Authors

B. Jaganathan (ORCID: https://orcid.org/0000-0002-5898-4589)
A. Joy Prisca

Institutions

Vellore Institute of Technology University (IN)

Publication Details

Journal: Frontiers in Chemistry
Published: 2025-10-28
DOI: https://doi.org/10.3389/fchem.2025.1668093
Primary Topic: Computational Drug Discovery Methods
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Vellore Institute of Technology, Chennai
VIT University

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article

Quantitative structure–property relationship modeling and ranking of necrotizing fasciitis drugs via degree-based topological indices

B. Jaganathan, A. Joy Prisca

Oct 28, 2025

Frontiers in Chemistry

Computational Drug Discovery Methods

article

Quantitative structure–property relationship modeling and ranking of necrotizing fasciitis drugs via degree-based topological indices

B. Jaganathan, A. Joy Prisca

October 28, 2025article en

Abstract

This integrated approach demonstrates the utility of topological indices in predicting drug properties, prioritizing candidates, and supporting the rational design and repurposing of NF therapeutics.

Frontiers in ChemistryVol. 13

Vellore Institute of Technology University (IN)

Vellore Institute of Technology, Chennai, VIT University

Openalex Percentile: Top 67%

Computational Drug Discovery Methods

DOI Open Access PDF OpenAlex

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Quantitative structure–property relationship modeling and ranking of necrotizing fasciitis drugs via degree-based topological indices — B. Jaganathan, A. Joy Prisca · Frontiers in Chemistry (2025) | TGRS Research Map | TGRS