QSPR/QSAR analysis of some eccentricity based topological descriptors of antiviral drugs used in COVID-19 treatment via $ \mathscr{D}\varepsilon $- polynomials.

In the field of chemical and medical sciences, topological indices are used to study the chemical, biological, clinical, and therapeutic aspects of pharmaceuticals. The COVID-19 pandemic is largely recognized as the most life-threatening crisis confronting medical advances. Scientists have tested various antiviral drugs and discovered that they help people recover from viral infections like COVID-19.

Curvilinear regression analysis of benzenoid hydrocarbons and computation of some reduced reverse degree based topological indices for hyaluronic acid-paclitaxel conjugates.

Graph theoretical molecular descriptors alias topological indices are a convenient means for expressing in numerical form the chemical structure encoded in a molecular graph. The structure descriptors derived from molecular graphs are widely used in quantitative structure-property relationship (QSPR) and quantitative structure-activity relationship (QSAR) studies. The reason for introducing new indices is to obtain predictions of target properties of considered molecules that are better than the predictions obtained using already known indices.

An 8-12 year follow-up of highly bacillated Indian leprosy patients treated with WHO multi-drug therapy.

Objectives: To follow up highly bacillated leprosy patients for a long period after release from treatment (RFT) and to look out for possibility of relapses.

Results: 660 patients with an initial bacterial positivity of 4 +, 5 + or 6 + who had undergone WHO multi-drug therapy and released from treatment, were followed up. The regularity of their treatment was kept high by close monitoring with home visits.