QSPR Analysis of Diverse Drugs Using Linear Regression for Predicting Physical Properties-Reference-Cited by-同舟云学术

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QSPR Analysis of Diverse Drugs Using Linear Regression for Predicting Physical Properties

Published:2023-09-14 Issue: Volume: Page:1-21
ISSN:1040-6638
Container-title:Polycyclic Aromatic Compounds
language:en
Short-container-title:Polycyclic Aromatic Compounds

Author:

Wei Jiao¹,Hanif Muhammad Farhan²,Mahmood Hasan²,Siddiqui Muhammad Kamran³^ORCID,Hussain Mazhar³

Affiliation:

1. Department of Pharmacy, People's Hospital, Lujiang County, Anhui Province, China

2. Abdus Salam School of Mathematical Sciences, Government College University, Lahore, Pakistan

3. Department of Mathematics, COMSATS University Islamabad, Lahore, Pakistan

Publisher

Informa UK Limited

Subject

Materials Chemistry,Organic Chemistry,Polymers and Plastics

Link

https://www.tandfonline.com/doi/pdf/10.1080/10406638.2023.2257848

Reference68 articles.

1. Valency-Based Molecular Descriptors for Measuring the π-Electronic Energy of Lower Polycyclic Aromatic Hydrocarbons

2. Multiplicative Zagreb Indices of Molecular Graphs

3. Three-dimensional visualization and quantitative characterization of grains in polycrystalline iron

4. The Cartesian Product and Join Graphs on Edge-Version Atom-Bond Connectivity and Geometric Arithmetic Indices

5. On physical analysis of free Gibb’s energy based on topological indices for nickel sulfide

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A python based algorithmic approach to optimize sulfonamide drugs via mathematical modeling;Scientific Reports;2024-05-28

2. Molecular insights into anti-Alzheimer’s drugs through predictive modeling using linear regression and QSPR analysis;Modern Physics Letters B;2024-03-05

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