Identification of stress response proteins through fusion of machine learning models and statistical paradigms.

ABSTRACT: Proteins are a vital component of cells that perform physiological functions to ensure smooth operations of bodily functions. Identification of a protein's function involves a detailed understanding of the structure of proteins. Stress proteins are essential mediators of several responses to cellular stress and are categorized based on their structural characteristics. These proteins are found to be conserved across many eukaryotic and prokaryotic linkages and demonstrate varied crucial functional activities inside a cell. The in-vivo, ex vivo, and in-vitro identification of stress proteins are a time-consuming and costly task. This study is aimed at the identification of stress protein sequences with the aid of mathematical modelling and machine learning methods to supplement the aforemen

SUBMITTER: Alzahrani E 

PROVIDER: S-EPMC8571424 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature