Structural Bioinformatics Analysis On Diabetes Associated Proteins

Bioinformatics III: Structural Bioinformatics and Genome Analysis

Structural bioinformatics prediction of membrane-binding proteins.

Membrane-binding peripheral proteins play important roles in many biological processes, including cell signaling and membrane trafficking. Unlike integral membrane proteins, these proteins bind the membrane mostly in a reversible manner. Since peripheral proteins do not have canonical transmembrane segments, it is difficult to identify them from their amino acid sequences. As a first step towar...

Integrative Bioinformatics Analysis of Proteins Associated with the Cardiorenal Syndrome

The cardiorenal syndrome refers to the coexistence of kidney and cardiovascular disease, where cardiovascular events are the most common cause of death in patients with chronic kidney disease. Both, cardiovascular as well as kidney diseases have been extensively analyzed on a molecular level, resulting in molecular features and associated processes indicating a cross-talk of the two disease eti...

Structural bioinformatics

Motivation: Protein-protein complexes are known to play key roles in many cellular processes. However, they are often not accessible to experimental study because of their low stability and difficulty to produce the proteins and assemble them in native conformation. Thus, docking algorithms have been developed to provide an in silico approach of the problem. A protein-protein docking procedure ...

Bioinformatics Analysis of Some Functional Genes and Proteins Involved in Obesity-induced Type 2 Diabetes

The incidence of type-2 diabetes is rising rapidly worldwide, mainly because of the increase in the incidence of obesity, which is an important risk factor for this condition. Both obesity and type-2 diabetes are complex genetic traits but they also share some nongenetic risk factors. Differences among individuals in their susceptibility to both these conditions probably reflect their genetic c...