Literature DB >> 15019992

Negative selection on neutralization epitopes of poliovirus surface proteins: implications for prediction of candidate epitopes for immunization.

Yoshiyuki Suzuki1.   

Abstract

For development of effective vaccines against viruses, it is of importance to choose appropriate epitopes as the target for immunization. These epitopes should eventually be determined experimentally, but it would be helpful if we could predict candidate epitopes computationally because it accelerates the entire process. To predict candidate epitopes for immunization, it is of great interest to characterize the target epitopes of poliovirus vaccine, which has empirically proven to be the most effective among all vaccines available. Here I show that almost all amino acid sites of poliovirus surface proteins VP1, VP2, and VP3 including neutralization epitopes are negatively selected and no site is under positive selection. These results, together with those obtained in previous studies, indicate that vaccines directed against epitopes, which consist of negatively selected sites protect vaccinees more effectively than those directed against epitopes which contain positively selected sites. These observations suggest that candidate epitopes for immunization are predicted by the molecular evolutionary analysis of viral protein (and its coding nucleotide) sequences, as the epitopes which consist exclusively of negatively selected amino acid sites.

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Year:  2004        PMID: 15019992     DOI: 10.1016/j.gene.2003.11.020

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  13 in total

1.  Computational analysis and identification of amino acid sites in dengue E proteins relevant to development of diagnostics and vaccines.

Authors:  Raja Mazumder; Zhang-Zhi Hu; C R Vinayaka; Jose-Luis Sagripanti; Simon D W Frost; Sergei L Kosakovsky Pond; Cathy H Wu
Journal:  Virus Genes       Date:  2007-05-17       Impact factor: 2.332

2.  Detection of site-specific positive Darwinian selection on pandemic influenza A/H1N1 virus genome: integrative approaches.

Authors:  Ramaiah Arunachalam
Journal:  Genetica       Date:  2013-03-26       Impact factor: 1.082

3.  Evidence of positive Darwinian selection in putative meningococcal vaccine antigens.

Authors:  David A Fitzpatrick; Christopher J Creevey; James O McInerney
Journal:  J Mol Evol       Date:  2005-06-29       Impact factor: 2.395

4.  Multilocus sequence typing of Streptococcus uberis provides sensitive and epidemiologically relevant subtype information and reveals positive selection in the virulence gene pauA.

Authors:  Ruth N Zadoks; Ynte H Schukken; Martin Wiedmann
Journal:  J Clin Microbiol       Date:  2005-05       Impact factor: 5.948

5.  Inferring nonneutral evolution from contrasting patterns of polymorphisms and divergences in different protein coding regions of enterovirus 71 circulating in Taiwan during 1998-2003.

Authors:  Hurng-Yi Wang; Kao-Chien Tsao; Chia-Hung Hsieh; Li-Min Huang; Tzou-Yien Lin; Guang-Wu Chen; Shin-Ru Shih; Luan-Yin Chang
Journal:  BMC Evol Biol       Date:  2010-09-25       Impact factor: 3.260

6.  Selecting vaccine strains for H3N2 human influenza A virus.

Authors:  Yoshiyuki Suzuki
Journal:  Meta Gene       Date:  2015-04-08

7.  Molecular evolution of haemagglutinin (H) gene in measles virus.

Authors:  Hirokazu Kimura; Mika Saitoh; Miho Kobayashi; Haruyuki Ishii; Takeshi Saraya; Daisuke Kurai; Hiroyuki Tsukagoshi; Komei Shirabe; Atsuyoshi Nishina; Kunihisa Kozawa; Makoto Kuroda; Fumihiko Takeuchi; Tsuyoshi Sekizuka; Hisanori Minakami; Akihide Ryo; Makoto Takeda
Journal:  Sci Rep       Date:  2015-07-01       Impact factor: 4.379

8.  Evaluation of Immunogenicity of Novel Isoform of EG95 (EG95-5G1) From Echinococcus granulosus in BALB/C Mice.

Authors:  Majid Pirestani; Abdolhossein Dalimi; Shahabodin Sarvi; Nima Khoramabadi
Journal:  Iran J Parasitol       Date:  2014 Oct-Dec       Impact factor: 1.012

9.  The EG95 antigen of Echinococcus spp. contains positively selected amino acids, which may influence host specificity and vaccine efficacy.

Authors:  Karen Luisa Haag; Bruno Gottstein; Francisco Jose Ayala
Journal:  PLoS One       Date:  2009-04-29       Impact factor: 3.240

10.  Duplicated paralogous genes subject to positive selection in the genome of Trypanosoma brucei.

Authors:  Richard D Emes; Ziheng Yang
Journal:  PLoS One       Date:  2008-05-28       Impact factor: 3.240

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