Analysis of Bio Molecules for System Level Understanding of Alzheimer s Disease

Abstract

Current progresses in whole genome sequencing have altered the way biologists tackle problems in diverse areas such as; biomedical research, bioinformatics, biotechnology, molecular biology, environmental biology etc Biology has currently become a big data science principally supported by the advances in high throughput experimental technologies Data intensive science consists of three basic activities capture, curation, and analysis All three of these phases of managing huge data elevate many new research challenges to pursue in systems biology Scientists of the 21st century are rising up to the challenge of deciphering the workings of multifaceted processes that involve the interaction of numerous biomolecules such as genes, proteins etc The success of future investigators in this area will depend in huge part on broad, yet rigorous, training that accentuates the intertwine nature of biological systems, whether it is the amino acids and polypeptides in a protein complex, the gene products that make up a developmental pathway or signaling pathway The purpose of systems biology is the system level understanding of a cell, organism, or disease, which can be recapitulated in the context of molecular networks as an understanding of the structure of all the components of a cell or organism up to molecular level, the capability to predict the future condition of the cell or organism or disease under a normal environment, the capacity to predict the output responses for a given input stimulus, and the aptitude to estimate the changes in system behavior upon perturbation of the components or the environment newlineThe most familiar category of dementia amongst older people is Alzheimer s disease AD, which primarily involves the parts of the brain that control thought, memory and language It was first described by German psychiatrist and neuropathologist Dr Aloi Alzheimer in 1906 and was named after him AD continues to be one of the most complicated human diseases to treat