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Senbagamalar, J, Ramani, M.S, Rashmanlou, Hossein, Mofidnakhaei, Farshid. (1405). Graph Theoretic Modeling of Antibiotic Drugs - Correlating Topological Indices with Physicochemical Properties. پژوهشنامه مدیریت اجرایی, (), -. doi: 10.22080/cjms.2026.31302.1821
J MVT Senbagamalar; M.S Ramani; Hossein Rashmanlou; Farshid Mofidnakhaei. "Graph Theoretic Modeling of Antibiotic Drugs - Correlating Topological Indices with Physicochemical Properties". پژوهشنامه مدیریت اجرایی, , , 1405, -. doi: 10.22080/cjms.2026.31302.1821
Senbagamalar, J, Ramani, M.S, Rashmanlou, Hossein, Mofidnakhaei, Farshid. (1405). 'Graph Theoretic Modeling of Antibiotic Drugs - Correlating Topological Indices with Physicochemical Properties', پژوهشنامه مدیریت اجرایی, (), pp. -. doi: 10.22080/cjms.2026.31302.1821
Senbagamalar, J, Ramani, M.S, Rashmanlou, Hossein, Mofidnakhaei, Farshid. Graph Theoretic Modeling of Antibiotic Drugs - Correlating Topological Indices with Physicochemical Properties. پژوهشنامه مدیریت اجرایی, 1405; (): -. doi: 10.22080/cjms.2026.31302.1821

Graph Theoretic Modeling of Antibiotic Drugs - Correlating Topological Indices with Physicochemical Properties

Caspian Journal of Mathematical Sciences
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 21 تیر 1405
نوع مقاله: Research Articles
شناسه دیجیتال (DOI): 10.22080/cjms.2026.31302.1821
نویسندگان
J MVT Senbagamalar* 1؛ M.S Ramani2؛ Hossein Rashmanlou3؛ Farshid Mofidnakhaei4
1Vel Nagar Avadi Chennai
2Department of Mathematics, M.O.P. Vaishnav College for Women, Chennai, India.
3School of Physics, Damghan University, Damghan, Iran. 3 Canadian Quantum Research Center, 106-460 Doyle Ave, Kelowna, British Columbia V1Y 0C2 Canada
4Department of Physics, Sar.C., Islamic Azad University, Sari, Iran;
تاریخ دریافت: 26 بهمن 1404،  تاریخ بازنگری: 17 اردیبهشت 1405،  تاریخ پذیرش: 28 اردیبهشت 1405 
چکیده
QSPR establishes a mathematical relationship between a molecular structure and its physicochemical characteristics. Topological indices can serve as effective tools for predicting the physicochemical
properties of chemical compounds, providing a useful alternative to time-consuming and laboratory testing. In this study, we established a QSPR relationship between topological indices and
antibacterial medications. Our analysis indicates that these properties can be predicted with high accuracy. Additionally, we computed the topological indices of antimicrobial drugs. By combining
these metrics with statistical modeling, this study aims to predict antibacterial efficacy and potentially aid in the discovery of novel antibiotic compounds that are more effective and less prone to resistance.
This study highlights that topological indices can inform the rational development and selection of antibiotics for future medical and therapeutic applications.
کلیدواژه‌ها
Antibiotic drugs؛ Correlation؛ Degree؛ Distance؛ Topological index
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تعداد مشاهده مقاله: 6


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