In silico comprehensive analysis of coding and non-coding SNPs in human mTOR protein.

ABSTRACT: The mammalian/mechanistic target of rapamycin (mTOR) protein is an important growth regulator and has been linked with multiple diseases including cancer and diabetes. Non-synonymous mutations of this gene have already been found in patients with renal clear cell carcinoma, melanoma, and acute lymphoid leukemia among many others. Such mutations can potentially affect a protein's structure and hence its functions. In this study, therefore, the most deleterious SNPs of mTOR protein have been determined to identify potential biomarkers for various disease treatments. The aim is to generate a structured dataset of the mTOR gene's SNPs that may prove to be an asset for the identification and treatment of multiple diseases associated with the target gene. Both sequence and structure-based approa

SUBMITTER: Yasmin T 

PROVIDER: S-EPMC9255762 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature