The ABC (ATP-Binding Cassette) proteins play important roles in all living organisms. Most of them act as active transporters and transfer various molecules (such as lipids, hormones, immunogenic peptides) through the cell membrane with the utilization of ATP . Their altered expression level or function can lead to various diseases like cystic fibrosis, type 2 diabetes, cancer cell drug resistance, familial intrahepatic cholestasis, Dubin-Johnson syndrome, adrenoleucodysthrophy [2-4]. In most of the cases the erroneous functionality of an ABC protein is caused by mutations in the genes encoding the transporter. Therefore studying these mutated proteins is extremely important in developing cures for the related diseases. During the past twenty years a large amount of publications accumulated on the area of ABC protein mutations, but the information they hold is hard to collect and process.
The goal of this thesis is to present a solution for data mining and database building from papers published in the field of ABC proteins, and to build a web application for the created database providing an easy-to-use practical interface for both theoretical and experimental research.