| Basic physicochemical properties, structure, function and antigen epitope of severe acute respiratory syndrome corona virus 2 (SARS-Cov-2/2019-nCov) were predicted using bioinformatics, to provide train of thought to contain COVID-19. The extinction coefficient, instability coefficient, half-jlife, and other physicochemical properties of S protein were analyzed applying ExPASy; The signal peptide were analyzed using SignaIP v5.0; and applying TMHMM to analyze transmembrane region of S protein; The phosphorylation sites were predicted adopting on-line tool NetPhos3.1; The structural domain of S protein was predicted applying Pfam; secondary structure of S protein was analyzed applying PSIPRED; and the establishment of the tertiary structure of S protein adopting SWISS-MODEL; the similarity of SARS-CoV-2 S protein to other species was analyzed adopting BLAST; the evolutionary relation of 2019-nCoV S protein was analyzed adopting MEGA software. The S protein was composed of 1 273 amino acids, with relative molecular weight at 141 178.47, and isoelectric point at 6.24, containing one transmembrane region, and it was a low hydrophilia secretive protein; The fundamental module of S protein is spike protein, among its secondary structure mainly was irregular coils and spiral structure, and the spike protein and ACE2 complex in tertiary structure has important significance; 2019-nCoV has the same origin with bat corona virus and SARS-CoV; S protein exists multiple potential epitope of linear T cells and B cells, the antigenicity and response frequency of 1 202-1 210 site of amino acids region was the highest. Bioinformatics technology is conducive to understand basic physicochemical properties, structure, function, and potential linear T cell epitopes etc, and could provide references foundation for studying and containing COVID-19. |
