Protein interaction network for Alzheimer's disease using computational approach

Alzheimer''s disease (AD) is the most common form of dementia. It is the sixth leading cause of death in old age people. Despiterecent advances in the field of drug design, the medical treatment for the disease is purely symptomatic and hardly effective. Thusthere is a need to understand the molecular mechanism behind the disease in order to improve the drug aspects of the disease. Weprovided two contributions in the field of proteomics in drug design. First, we have constructed a protein-protein interactionnetwork for Alzheimer''s disease reviewed proteins with 1412 interactions predicted among 969 proteins. Second, the diseaseproteins were given confidence scores to prioritize and then analyzed for their homology nature with respect to paralogs andhomologs. The homology persisted with the mouse giving a basis for drug design phase. The method will create a new drug designtechnique in the field of bioinformatics by linking drug design process with protein-protein interactions via signal pathways. Thismethod can be improvised for other diseases in future.