In silico comparative analysis of SARS-CoV-2 Nucleocapsid (N) protein using bioinformatics tools

نویسندگان

چکیده

The world has been encountered to one of the biggest pandemics that causing by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SARS-CoV-2 is placed in Beta-CoV genus Coronaviridae family. N protein crucial structural proteins binds genome thereby generating helical ribonucleoprotein core. It involved viral transcription/replication, translation, and assembly after entering host cell through interacting with proteins. sequences taxonomically related CoVs are examined using bioinformatics tools approaches including sequence alignment, phylogenetic analyzes, predicting putative N-Glycosylation phosphorylation positions also predictions comparative analyzes performed on 3D structures from some applied analyzes. Results mega BLAST search revealed most similar Bat-CoV RaTG13 CoVs. grouped SARS, pangolin, civet bat (RATG13, SL ZC45 ZXC21) protein, nucleotide based ML trees. Some were showed divergence other analyzed due amino acid substitutions detected samples highest Richmont/USA (QJA42209.1) Greece (QIZ16579.1) samples, 3 place substitutions, respectively. By domain three domains as Corona_nucleocora (Pfam), terminal CoV RNA-binding (HAMAP) C dimerization (HAMAP). Possible N-glycosylation predicted at two positions. Assessments possible serine, threonine tyrosine phosphorylations found be 100 positions, 34 them higher than 80% possibility. structure analysis TM scores although results shown consistency taxonomy CoVs, not same fold.

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ژورنال

عنوان ژورنال: Frontiers in life sciences and related technologies

سال: 2021

ISSN: ['2718-062X']

DOI: https://doi.org/10.51753/flsrt.843166