Evaluación del Desempeño Computacional de Sistemas de recomendación aplicado a bases de datos farmacológicas : Implementación de un Sistema de recomendación basado en contenido para predicción de interacciones farmacológicas.

Abstract

Nowadays, in the field of bioinformatics, new scientific discoveries or findings cause new problems or complications to arise on different topics, for example, every so often information about new drugs is updated in the chemical database ChEMBL, so all the information related to these new drugs must be processed and verified, which results in a work that involves a lot of effort and time. In addition, sometimes this work is not as efficient or does not yield convincing results, which means that these discoveries and efforts are not relevant. Faced with this problem, one of the solutions that arise is drug repositioning. This degree work shows the procedure to elaborate a content-based recommendation system to perform the repositioning of the drugs that exist in version 29 of ChEMBL. The results obtained with the recommendation system will be compared with the actual results, which will help to verify the accuracy of the recommendations made.