ArticleHeliyon2024
QSPR analysis of distance-based structural indices for drug compounds in tuberculosis treatment.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 43 citations in OpenAlex.
- Predictive performance and QSPR analysis of SARS-CoV-2 and tuberculosis drugs using distance-based topological descriptors.Scientific reports · 2026Article
- Derivation of closed-form analytical irregularity topological indices for ideal rock-salt lattices.Scientific reports · 2026Article
- On topological co-index polynomials for predictive modeling of the physicochemical properties of antiviral drugs.Scientific reports · 2026Article
- Structure-efficiency relationship of access group antibiotics via SK chromatic descriptors.Frontiers in chemistry · 2026Article
- Applications of Sombor topological indices and entropy measures for QSPR modeling of anticancer drugs: a Python-based methodology.Scientific reports · 2025Article
- Predictive topological modeling of the structure-property relationships in naturally occurring anti-cancer chalcones.Scientific reports · 2025Article
- Information-theoretic entropy and topological descriptor analysis of tin oxide (SnO₂) for structural and property prediction.Scientific reports · 2025Article
- Predictive modeling of asthma drug properties using machine learning and topological indices in a MATLAB based QSPR study.Scientific reports · 2025Article
- Topological modeling and QSPR based prediction of physicochemical properties of bioactive polyphenols.Scientific reports · 2025Article
- Characterization of tricyclic anti-depressant drugs efficacy via topological indices.Scientific reports · 2025Article
- Topological information entropy and spectral energy analysis in aminal-linked covalent organic frameworks.Scientific reports · 2025Article
- Network topology and entropy analysis of tetragonal farneseite zeolites.Scientific reports · 2025Article
- Mathematical study of silicate and oxide networks through Revan topological descriptors for exploring molecular complexity and connectivity.Scientific reports · 2025Article
- On QSPR analysis of pulmonary cancer drugs using python-driven topological modeling.Scientific reports · 2025Article
- A paradigmatic approach to the topological measure of babesiosis drugs and estimating physical properties via QSPR analysis.Heliyon · 2025Article
- Mathematical modeling and QSPR analysis of hepatitis treatment drugs through connection indices an innovative approach.Heliyon · 2025Article
- A python based algorithmic approach to optimize sulfonamide drugs via mathematical modeling.Scientific reports · 2024Article
- Article
- Modified reverse degree descriptors for combined topological and entropy characterizations of 2D metal organic frameworks: applications in graph energy prediction.Frontiers in chemistry · 2024Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) is one of the most contagious diseases that has a greater mortality rate than HIV/AIDS and the cases of TB are feared to rise as a repercussion of the COVID-19 pandemic. The pharmaceutical industry is constantly looking for ways to improve drug design processes in order to combat the growth of infections and cure newly identified syndromes or genetically based dysfunctions with the help of QSPR models. QSPR models are mathematical tools that establish relationships between a molecular structure and its physicochemical attributes using structural properties. Topological indices are such properties that are generated from the molecular graph without any empirically derived measurements. This work focuses on developing a QSPR model using distance-based topological indices for anti-tuberculosis medications and their diverse physicochemical features.
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Registered trials
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.