Feature-extraction and analysis based on spatial distribution of amino acids for SARS-CoV-2 Protein sequences.

ABSTRACT:

Background and objective

The world is currently facing a global emergency due to COVID-19, which requires immediate strategies to strengthen healthcare facilities and prevent further deaths. To achieve effective remedies and solutions, research on different aspects, including the genomic and proteomic level characterizations of SARS-CoV-2, are critical. In this work, the spatial representation/composition and distribution frequency of 20 amino acids across the primary protein sequences of SARS-CoV-2 were examined according to different parameters.

Method

To identify the spatial distribution of amino acids over the primary protein sequences of SARS-CoV-2, the Hurst exponent and Shannon entropy were applied as parameters to fetch the autocorrelation and amount of information o

SUBMITTER: Rout RK 

PROVIDER: S-EPMC8577876 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature