Evaluación comparativa del desempeño computacional de la ejecución de consultas usando la base de datos Chembl

Abstract

In the last twenty years the molecular information has been generated widely and expect it will grow according with the medical advances. Therefore, the bioinformatic should face some challenges such as: data storage, data processing and management of computational resources. These challenges can be exemplified in ChEMBL database, which is formed by 75 tables and the execution time of a query can take around thirty minutes. This is a problem and it is considered inefficient. Under the premise of improve the performance of this database two possible solutions have been proposed: (1) simplify the original data model according with the most relevant information, (2) adapt the simplify model to a new No SQL data model based on graphs. These two models were evaluated using a computational performance evaluation based on Capacity Planning.