In silico analysis predicting effects of deleterious SNPs of human RASSF5 gene on its structure and functions.

ABSTRACT: Ras association domain-containing protein 5 (RASSF5), one of the prospective biomarkers for tumors, generally plays a crucial role as a tumor suppressor. As deleterious effects can result from functional differences through SNPs, we sought to analyze the most deleterious SNPs of RASSF5 as well as predict the structural changes associated with the mutants that hamper the normal protein-protein interactions. We adopted both sequence and structure based approaches to analyze the SNPs of RASSF5 protein. We also analyzed the putative post translational modification sites as well as the altered protein-protein interactions that encompass various cascades of signals. Out of all the SNPs obtained from the NCBI database, only 25 were considered as highly deleterious by six in silico SNP prediction

SUBMITTER: Hossain MS 

PROVIDER: S-EPMC7471297 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature