this research explores the manipulation of biomedical big data and diseases detection using automated computing mechanisms. As efficient and cost effective way to discover disease and drug is important for a society so computer aided automated system is a must. This paper aims to understand the importance of computer aided automated system among the people. The analysis result from collected da...

Various proteins play important roles in diabetes and a number of plants have been tested for their efficacy in modulating diabetes. Of all the proteins, we selected aloes reductase enzyme to analyze few plant compounds computationally for their efficacy towards protein inhibition. A total of 85 compounds from different parts of a plant, Cuminum cyminum were studied. Analysis was conducted usin...

Protein-ligand docking is an essential part of computer-aided drug design, and it identifies the binding patterns of proteins and ligands by computer simulation. Though Lamarckian genetic algorithm (LGA) has demonstrated excellent performance in terms of protein-ligand docking problems, it can not memorize the history information that it has accessed, rendering it effort-consuming to discover s...

The increasing number of protein 3D structures and the success of structure-based approaches has led to the development of several experimental and theoretical techniques for the rational design of protein ligands. Combinatorial chemistry significantly speeds up the synthesis of potential new drug candidates. Diversity considerations, as well as the use of 3D structural information of the biolo...

he present art of drug discovery and design of new drugs is based on suicidal irreversible inhibitors. Covalent inhibition is the strategy that is used to achieve irreversible inhibition. Irreversible inhibitors interact with their targets in a time-dependent fashion, and the reaction proceeds to completion rather than to equilibrium. Covalent inhibitors possessed some significant advantages ov...