Catálogo de Investigaciones 2015-2016

CATÁLOGO DE INVESTIGACIONES | AÑO ACADÉMICO 2015-2016 153 Bioinformatics Tools and Databases for Cancer Driver Gene Identification To Identify Alternate Treatment Using Drug Repositioning Development of alternate treatments for different kinds of cancer is a challenge that is both expensive and time consuming. Bioinformatics tools and databases aid in the development of new approaches to identify, classify, and analyze data for alternate medical treatment of cancer and other diseases. Cancer driver genes are classified as oncogenes and tumor suppressors. These genes can be mutated in two forms, those that are not involved in cancer development (passenger mutations), and those that can accumulate and promote the development of cancer (driver mutations). Drug repositioning is the study of approved drugs that have the potential to treat other diseases rather than the one they were originally developed for. More than 80% of drugs in human clinical trials are not approved due to failing effectiveness. The purpose for this investigation is the compilation and development of a collection of cancer driver genes for drug repositioning studies. We accessed twelve databases for driver gene lists, and classified the drivers into oncogenes and tumor suppressor categories. Thirty- two lists have been identified with a total of 5501 unique cancer driver genes. Applications for this research include the potential to find driver gene interactions with drug- candidates for repositioning. Moreover, we provide organized information about driver genes and repositioned drugs for the development of new and efficient therapies. dra. mónica m. arroyo colegio de ciencias - pucpr. wallace seda calderón estudiante pucpr bioinformatics data integration cancer pharmacogenomics drug repositioning