Akademik Veri Yönetim Sistemi
7th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2016 - Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016, Rome, İtalya, 21 - 23 Şubat 2016, ss.168-173
Drugs are small molecules that generally work by binding to its target which is often a protein. This ligand molecule binding helps in the treatment of various diseases. Major obstacle to treat complex diseases is the phenomena underlying drug resistance mechanisms which are not fully understood so far. Previously reported literature has mentioned few of the motives behind this complex mechanism which dominantly include protein missense mutations and the changes in the expression levels of certain genes. A better understanding of these mechanisms is getting crucial for the researchers. Retrieving information on these processes can be challenging as scientific literature has huge pool of data and extracting the required information has always been a laborious task. We developed an online pipeline ZK DrugResist that automatically extracts PubMed abstracts of drug resistance paired with either mutation or expression for a given disease. Our classifier showed 97.7% accuracy with 93.5% recall and 96.5% F-measure. This system saves plenty of time in terms of data mining and also reduces efforts in retrieving information from online resources.