Computational Analysis of Parkinson’s disease Associated Pink1 Gene:A Neuroinformatics Approach.

Parkinson’s disease (PD) is the second most common neurodegenerative disorder after Alzheimer’s, caused primarily by the loss of dopaminergic neurons of the Substantia-Nigra. Mutations in the putative-induced kinase - a mitochondrial serine/threonine-protein kinase encoded by the PINK1 gene have been found in families with recessive early-onset Parkinson's disease. Neuroinformatics allow researchers to quantitatively confirm theories by computational models. In genomics, the effectiveness of available databases and the application of theoretical and computational models demonstrate solution of complex problems. The present study is based on computational analysis, to explore in-depth knowledge about Parkinson’s disease associated PINK1 gene, using advanced bioinformatics tools such as, STRING database, KEGG pathway, NEXT PROT, BioGrid database to find the protein-protein interactions, their metabolic pathway and protein sequence. Neuroinformatics approach in the current study expressed unique possibilities to enhance understanding towards the biological function of the particular gene like PINK1 gene which is associated with the progression of Parkinson's disease.