Results 1 to 10 of about 3,379 (242)

Degree-based topological indices on anticancer drugs with QSPR analysis [PDF]

open access: yesHeliyon, 2020
From last two to three decades, the world is facing the threat of finding treatment for Cancer. This disease is striking almost ten million people every year throughout the world.
M C Shanmukha, A Usha, K C Shilpa
exaly   +7 more sources

Degree-Based Molecular Descriptors and QSPR Analysis of Breast Cancer Drugs [PDF]

open access: goldJournal of Mathematics, 2022
The disease that involves abnormal cell growth and spreads through the surrounding tissues damaging other parts of the body is cancer. Breast cancer is the most common one out of many types.
M. C. Shanmukha   +3 more
doaj   +3 more sources

A QSPR analysis of physical properties of antituberculosis drugs using neighbourhood degree-based topological indices and support vector regression [PDF]

open access: yesHeliyon
Topological indices are molecular descriptors used in QSPR modelling to predict the physicochemical properties of molecules. Topological indices are used in numerous applications in drug design.
Muhammad Shafii Abubakar   +3 more
doaj   +3 more sources

A paradigmatic approach to the topological measure of babesiosis drugs and estimating physical properties via QSPR analysis

open access: yesHeliyon
New developments in the field of chemical graph theory have made it easier to comprehend how chemical structures relate to the graphs that underlie them on a more profound level using the ideas of classical graph theory.
Nadeem Ul Hassan Awan   +4 more
doaj   +3 more sources

QSPR analysis of the drugs used to treat renal failure and its complications using degree and modified reverse degree indices [PDF]

open access: yesScientific Reports
QSPR plays a crucial role in drug design by predicting the biological activity and the physico-chemical properties of compounds based on their molecular structures.
J. J. Jeni Godlin, S. Radha
doaj   +2 more sources

Topological Descriptors of Colorectal Cancer Drugs and Characterizing Physical Properties Via QSPR Analysis [PDF]

open access: yesInternational Journal of Analytical Chemistry
Topological descriptors and QSPR analysis are statistical techniques that are highly beneficial for analyzing various physical and chemical characteristics of molecular graphs without necessitating expensive and time-consuming laboratory experiments. The
Sumiya Nasir
doaj   +2 more sources

A QSPR analysis and curvilinear regression models for various degree-based topological indices: Quinolone antibiotics [PDF]

open access: yesHeliyon
Topological indices play an essential role in defining a chemical compound numerically and are widely used in QSPR/QSAR analysis. Using this analysis, physicochemical properties of the compounds and the topological indices are studied.
B. Kirana, M.C. Shanmukha, A. Usha
doaj   +2 more sources

Comparative study of degree, neighborhood and reverse degree based indices for drugs used in lung cancer treatment through QSPR analysis [PDF]

open access: yesScientific Reports
Quantitative structure-property relationship (QSPR) modeling has emerged as a pivotal tool in the field of medicinal chemistry and drug design, offering a predictive framework for understanding the correlation between chemical structure and ...
Micheal Arockiaraj   +4 more
doaj   +2 more sources

QSPR and QSTR analysis to explore pharmacokinetic and toxicity properties of antifungal drugs through topological descriptors [PDF]

open access: goldScientific Reports
COVID-19 patients often develop serious fungal infections like Aspergillosis, Candidiasis, and Mucormycosis, which are treated with antifungal drugs like Amphotericin B, Posaconazole, and Isavuconazole.
W. Tamilarasi, B. J. Balamurugan
doaj   +2 more sources

Graph-Theoretical Approach for Predicting Physicochemical Properties of Stiff-Person Syndrome Drugs. [PDF]

open access: yesChemistryOpen
Graph‐theoretical descriptors derived from M‐polynomials are integrated with quantitative structure–property relationship modeling and machine learning to uncover structure–property relationships of drugs used in stiff‐person syndrome. Strong correlations between degree‐based topological indices and key physicochemical properties are revealed ...
Ali J, Ali Y, Malik MA, Shang Y.
europepmc   +2 more sources

Home - About - Disclaimer - Privacy