Self and Nonself Short Constituent Sequences of Amino Acids in the SARS-CoV-2 Proteome for Vaccine Development

被引:4
作者
Otaki, Joji M. [1 ]
Nakasone, Wataru [2 ]
Nakamura, Morikazu [2 ]
机构
[1] Univ Ryukyus, Dept Chem Biol & Marine Sci, BCPH Unit Mol Physiol, Okinawa 9030213, Japan
[2] Univ Ryukyus, Fac Engn, Dept Engn, Comp Sci & Intelligent Syst Unit, Okinawa 9030213, Japan
来源
COVID | 2021年 / 1卷 / 03期
关键词
SARS-CoV-2; COVID-19; vaccine; self/nonself discrimination; proteome; epitope; autoimmune response; autoantibody; short constituent sequence; REGULATORY T-CELLS; SECONDARY STRUCTURE; AVAILABILITY; ANTIGEN; SPIKE; IDENTIFICATION; PREDICTION; PROTEINS;
D O I
10.3390/covid1030047
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Current SARS-CoV-2 vaccines take advantage of the viral spike protein required for infection in humans. Considering that spike proteins may contain both "self" and "nonself" sequences (sequences that exist in the human proteome and those that do not, respectively), nonself sequences are likely to be better candidate epitopes than self sequences for vaccines to efficiently eliminate pathogenic proteins and to reduce the potential long-term risks of autoimmune diseases. This viewpoint is likely important when one considers that various autoantibodies are produced in COVID-19 patients. Here, we comprehensively identified self and nonself short constituent sequences (SCSs) of 5 amino acid residues in the proteome of SARS-CoV-2. Self and nonself SCSs comprised 91.2% and 8.8% of the SARS-CoV-2 proteome, respectively. We identified potentially important nonself SCS clusters in the receptor-binding domain of the spike protein that overlap with previously identified epitopes of neutralizing antibodies. These nonself SCS clusters may serve as functional epitopes for effective, safe, and long-term vaccines against SARS-CoV-2 infection. Additionally, analyses of self/nonself status changes in mutants revealed that the SARS-CoV-2 proteome may be evolving to mimic the human proteome. Further SCS-based proteome analyses may provide useful information to predict epidemiological dynamics of the current COVID-19 pandemic.
引用
收藏
页码:555 / 574
页数:20
相关论文
共 78 条
  • [1] [Anonymous], 2020, Threat Assessment Brief: Reinfection with SARS-CoV-2: considerations for public health response
  • [2] SARS-CoV-2 neutralizing antibody structures inform therapeutic strategies
    Barnes, Christopher O.
    Jette, Claudia A.
    Abernathy, Morgan E.
    Dam, Kim-Marie A.
    Esswein, Shannon R.
    Gristick, Harry B.
    Malyutin, Andrey G.
    Sharaf, Naima G.
    Huey-Tubman, Kathryn E.
    Lee, Yu E.
    Robbiani, Davide F.
    Nussenzweig, Michel C.
    West, Anthony P., Jr.
    Bjorkman, Pamela J.
    [J]. NATURE, 2020, 588 (7839) : 682 - +
  • [3] The Protein Data Bank
    Berman, HM
    Westbrook, J
    Feng, Z
    Gilliland, G
    Bhat, TN
    Weissig, H
    Shindyalov, IN
    Bourne, PE
    [J]. NUCLEIC ACIDS RESEARCH, 2000, 28 (01) : 235 - 242
  • [4] Development of epitope-based peptide vaccine against novel coronavirus 2019 (SARS-COV-2): Immunoinformatics approach
    Bhattacharya, Manojit
    Sharma, Ashish R.
    Patra, Prasanta
    Ghosh, Pratik
    Sharma, Garima
    Patra, Bidhan C.
    Lee, Sang-Soo
    Chakraborty, Chiranjib
    [J]. JOURNAL OF MEDICAL VIROLOGY, 2020, 92 (06) : 618 - 631
  • [5] STRUCTURE OF THE HUMAN CLASS-I HISTOCOMPATIBILITY ANTIGEN, HLA-A2
    BJORKMAN, PJ
    SAPER, MA
    SAMRAOUI, B
    BENNETT, WS
    STROMINGER, JL
    WILEY, DC
    [J]. NATURE, 1987, 329 (6139) : 506 - 512
  • [6] Regulation of the Cell Biology of Antigen Cross-Presentation
    Blander, J. Magarian
    [J]. ANNUAL REVIEW OF IMMUNOLOGY, VOL 36, 2018, 36 : 717 - 753
  • [7] Characterization of oligopeptide patterns in large protein sets
    Bresell, Anders
    Persson, Bengt
    [J]. BMC GENOMICS, 2007, 8 (1)
  • [8] Structural and biological basis of CTL escape in coronavirus-infected mice
    Butler, Noah S.
    Theodossis, Alex
    Webb, Andrew I.
    Dunstone, Michelle A.
    Nastovska, Roza
    Ramarathinam, Sri Harsha
    Rossjohn, Jamie
    Purcell, Anthony W.
    Perlman, Stanley
    [J]. JOURNAL OF IMMUNOLOGY, 2008, 180 (06) : 3926 - 3937
  • [9] Prediction of protein cellular attributes using pseudo-amino acid composition
    Chou, KC
    [J]. PROTEINS-STRUCTURE FUNCTION AND GENETICS, 2001, 43 (03): : 246 - 255
  • [10] PREDICTION OF PROTEIN CONFORMATION
    CHOU, PY
    FASMAN, GD
    [J]. BIOCHEMISTRY, 1974, 13 (02) : 222 - 245