A study on anti-malaria drugs using degree-based topological indices through QSPR analysis

A study on anti-malaria drugs using degree-based topological indices through QSPR analysis

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The use of topological descriptors is the key method, regardless of great advances taking place in the field of Sovereign CDS Premiums’ Reaction to Macroeconomic News: An Empirical Investigation drug design.Descriptors portray the chemical characteristic of a molecule in numerical form, that is used for QSAR/QSPR models.The numerical values related with chemical constitutions that correlate the chemical structure with the physical properties refer to topological indices.The study of chemical structure with chemical reactivity or biological activity is termed quantitative structure activity relationship, in which topological index plays a significant role.Chemical graph theory is one such significant branch of science which plays a key role in QSAR/QSPR/QSTR studies.

This work is focused on computing various degree-based topological indices and regression model of nine anti-malaria drugs.Regression models are fitted for computed indices values with 6 physicochemical properties of the anti-malaria drugs are studied.Based on the results obtained, an Contribuições da estratégia de ensino estudo de caso para o desenvolvimento de habilidades didáticas em licenciandos de Química analysis is carried out for various statistical parameters for which conclusions are drawn.