Bøger af Radha Mahendran

Tuberculosis (TB) is a bacterial infection which spreads through the lymph nodes and blood stream and it mainly affects the lungs. TB is mainly caused by the bacterial pathogen, Mycobacterium tuberculosis which spreads infection from one person to another through tiny droplets released into the air via cough and sneezes. Most of the people who were exposed to TB never developed symptoms in their early stages, because the Mycobacterium tuberculosis survives in an inactive form in the body for the longer period. Through literature survey, four persistence tuberculosis proteins were identified and they were also found to possess drug resistance towards currently available synthetic tuberculosis drugs. Current study focuses on few natural anti-tuberculosis compounds from various plants which possess potential inhibitory activity against multi-drug resistant TB. Further they were screened for its druglikness properties using Lipinski rule of five. The compounds which satisfied the rule were further subjected to docking studies with four persistent tuberculosis proteins. The result of the docking studies revealed the inhibitory mechanism of the compounds towards the target proteins.

Alzheimer's disease is the most common form of dementia which is incurable. Although some kinds of memory loss are normal during aging, these are not severe enough to interfere with the level of function. -Secretase is an important protease in the pathogenesis of Alzheimer's disease. Some statine-based peptidomimetics show inhibitory activities to the -secretase. To explore the inhibitory mechanism, molecular docking and three-dimensional quantitative structure-activity relationship (3D-QSAR) studies on these analogues were performed. Quantitative structure-activity relationship (QSAR) modeling pertains to the construction of predictive models of biological activities as a function of structural and molecular information of a compound library. The concept of QSAR has typically been used for drug discovery and development and has gained wide applicability for correlating molecular information with not only biological activities but also with other physicochemical properties, which has therefore been termed quantitative structure-property relationship (QSPR). In this study, 3D QSAR and pharmacophore mapping studies were carried out using Accelrys Discovery Studio 2.1. The best nine drugs were selected from the 16 ligands and pharmacophore features were generated.