A QSPR analysis and curvilinear regression for various degree-based topological indices of Quinolone antibiotics

A QSPR analysis and curvilinear regression for various degree-based topological indices of Quinolone antibiotics | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A QSPR analysis and curvilinear regression for various degree-based topological indices of Quinolone antibiotics B. Kirana, M.C. Shanmukha, A. Usha This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3887676/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Graph invariants or topological indices play an essential role in defining a chemical compound numerically. They are widely used in QSPR/QSAR analysis. Using this analysis, physicochemical properties of the compounds and the topological indices are studied. Various statistical parameters are determined and they are interpreted according to their numerical values obtained. This article concentrates on studying curvilinear regression models of Quinolone antibiotics. Quinolones are synthetic antibiotics employed for treating the diseases caused by bacteria. Across the years, Quinolones have shifted its position from minor drug to a very significant drug to treat the infections caused by bacteria and in urinary tract. They are largely used in the treatment of various gram-positive and gram-negative bacteria. A study is carried out on Quinolone antibiotics by computing eleven topological indices through QSPR analysis. Linear, quadratic and cubic regression models are determined for all topological indices. These regression models are depicted graphically by extending for fourth degree and fifth degree models for significant topological indices with its corresponding physical property showing the variation between each model. Computational Chemistry Medicinal Chemistry Discrete Mathematics Applied Mathematics Quinolone antibiotics degree-based topological indices QSPR analysis Curvilinear regression model Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3887676","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":268521327,"identity":"8764b3e9-ebfb-48b9-92cc-42931d0defdc","order_by":0,"name":"B. Kirana","email":"","orcid":"","institution":"KVG College of Engineering, Sullia, D.K-574327","correspondingAuthor":false,"prefix":"","firstName":"B.","middleName":"","lastName":"Kirana","suffix":""},{"id":268521921,"identity":"534c4cc1-01c9-4c41-9af4-88262ba7c776","order_by":1,"name":"M.C. 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They are widely used in QSPR/QSAR analysis. Using this analysis, physicochemical properties of the compounds and the topological indices are studied. Various statistical parameters are determined and they are interpreted according to their numerical values obtained. This article concentrates on studying curvilinear regression models of Quinolone antibiotics. Quinolones are synthetic antibiotics employed for treating the diseases caused by bacteria. Across the years, Quinolones have shifted its position from minor drug to a very significant drug to treat the infections caused by bacteria and in urinary tract. They are largely used in the treatment of various gram-positive and gram-negative bacteria. A study is\u0026nbsp;carried out on Quinolone antibiotics by computing eleven topological indices through QSPR analysis. Linear, quadratic and cubic regression models are determined for all topological indices. 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