PERSONAL DE APOYO
VILLEGAS CASTAGNASSO Egle Etel
artículos
Título:
Computational prediction of nsSNPs effects on bovine GSTP1: an integrated protein function and structure approach to SNPs prioritization.
Autor/es:
AH FALOMIR-LOCKHART; EE VILLEGAS-CASTAGNASO; G GIOVAMBATTISTA; A ROGBERG-MUÑOZ
Revista:
FREE RADICAL BIOLOGY AND MEDICINE
Editorial:
ELSEVIER SCIENCE INC
Referencias:
Lugar: Amsterdam; Año: 2018 vol. 129 p. 486 - 491
ISSN:
0891-5849
Resumen:
The development of high-throughput technologies in the last decade produced an exponential increase in the amount of biological data available. The case of redox biology and apoptosis is not an exception, and nowadays there is a need to integrate information from multiple ?omics? studies. Therefore, validation of proposed discoveries is essential. However, the study in biological systems of the effect of the massive amounts of sequence variation data generated with next-generation sequencing (NGS) technologies can be a very difficult and expensive process. In this context, the present study aimed to demonstrate the advantages of a computational methodology to systematically analyze the structural and functional effects of protein variants, in order to prioritize further studies. This approach stands out for its easy implementation, low costs and low time consumed.