MSc. student,

Bioinformatics, PPGBIOINFO, Federal University of Rio Grande do Norte

E-mail: l.unifolie@gmail.com, laisecf@ufrn.edu.br

Lattes: http://lattes.cnpq.br/8881925073912858

Masters student in Bioinformatics at the Universidade Federal do Rio Grande do Norte - UFRN. Graduated in Computer Science by the Universidade Federal de Campina Grande - UFCG.

Projetct Abstract

Structural consequences of SNPs associated to cancer

Each individual has distinct patterns of SNPs spread across their genome. Understanding these profiles is important to identify different responses to drugs and treatments. Furthermore, pontual mutations are well known to trigger human cancers, by means of affecting genomic sequence and their products, like proteins, in a chemical point of view. However, mutational impact on protein structure has not yet been systematically analyzed. To join efforts in this way, the objective of this project is to identify the real structural effect of SNPs related to certain types of cancer. That is, to identify SNPs in known “druggable” structures and to characterize structural consequences of variation. So, if the mutation alters the structure of the drug binding region to the target, to search drugs and others chemical compounds that will dock with mutated proteins.