Year: 2011
Type: dissertation
Abstract: Bioinformatics data is growing faster than exponentially. This large amount of data has\nopened up many possibilities but it also poses many challenges as it is a tedious task to\nmanually analyze this data. \n25% of our genes translates to membrane proteins and they contain 60% of the drug\ntargets. A genetic variation can alter the function of a protein, this can sometimes lead to a\ndisease. Knowing where in the protein structure a disease causing variation occurs will aid\ndrug designers in the drug discovery process. \nMembraneLogic is a database that through its automated data gathering process identifies\nthe membrane proteins by prediction and links them to known SNPs and their relation to\ndisease. \nThe data it uses comes from NCBI Ensembl and PDB and the main prediction method\nused to identify membrane proteins is SCAMPI. \nIts web interface provides functionality to search for membrane proteins and diseases and\nsee what variations are related to disease ,both in sequence and structure.\nThe application is implemented with JAVA platform related tools and frameworks such as\nGrails, Spring and Hibernate.
Author: Iman Pouya
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W56420704