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Antigenicity – Free Register to Access Experts & Abstracts

Hsin-yiu Chou – One of the best experts on this subject based on the ideXlab platform.

  • A voting mechanism-based linear epitope prediction system for the host-specific Iridoviridae family
    BMC Bioinformatics, 2019
    Co-Authors: Tao-chuan Shih, Li-ping Ho, Jen-leih Wu, Hsin-yiu Chou

    Abstract:

    Background The Iridoviridae family is categorized into five genera and clustered into two subfamilies: Alphairidovirinae includes Lymphocystivirus , Ranavirus (GIV), and Megalocystivirus (TGIV), which infect vertebrate hosts and Betairidovirinae includes Iridovirus and Chloriridovirus, which infect invertebrate hosts. Clustered Iridoviridae subfamilies possess host-specific characteristics, which can be considered as exclusive features for in-silico prediction of effective epitopes for vaccine development. A voting mechanism-based linear epitope (LE) prediction system was applied to identify and endorse LE candidates with a minimum length requirement for each clustered subfamily Results The experimental results showed that four conserved epitopes among the Iridovirideae family, one exclusive epitope for invertebrate subfamily and two exclusive epitopes for vertebrate family were predicted. These predicted LE candidates were further validated by ELISA assays for evaluating the strength of Antigenicity and cross Antigenicity. The conserved LEs for Iridoviridae family reflected high Antigenicity responses for the two subfamilies, while exclusive LEs reflected high Antigenicity responses only for the host-specific subfamily Conclusions Host-specific characteristics are important features and constraints for effective epitope prediction. Our proposed voting mechanism based system provides a novel approach for in silico LE prediction prior to vaccine development, and it is especially powerful for analyzing antigen sequences with exclusive features between two clustered groups.

  • A voting mechanism-based linear epitope prediction system for the host-specific Iridoviridae family
    BMC Bioinformatics, 2019
    Co-Authors: Tao-chuan Shih, Hsin-yiu Chou, Tun-wen Pai

    Abstract:

    The Iridoviridae family is categorized into five genera and clustered into two subfamilies: Alphairidovirinae includes Lymphocystivirus, Ranavirus (GIV), and Megalocystivirus (TGIV), which infect vertebrate hosts and Betairidovirinae includes Iridovirus and Chloriridovirus, which infect invertebrate hosts. Clustered Iridoviridae subfamilies possess host-specific characteristics, which can be considered as exclusive features for in-silico prediction of effective epitopes for vaccine development. A voting mechanism-based linear epitope (LE) prediction system was applied to identify and endorse LE candidates with a minimum length requirement for each clustered subfamily The experimental results showed that four conserved epitopes among the Iridovirideae family, one exclusive epitope for invertebrate subfamily and two exclusive epitopes for vertebrate family were predicted. These predicted LE candidates were further validated by ELISA assays for evaluating the strength of Antigenicity and cross Antigenicity. The conserved LEs for Iridoviridae family reflected high Antigenicity responses for the two subfamilies, while exclusive LEs reflected high Antigenicity responses only for the host-specific subfamily Host-specific characteristics are important features and constraints for effective epitope prediction. Our proposed voting mechanism based system provides a novel approach for in silico LE prediction prior to vaccine development, and it is especially powerful for analyzing antigen sequences with exclusive features between two clustered groups.

Tao-chuan Shih – One of the best experts on this subject based on the ideXlab platform.

  • A voting mechanism-based linear epitope prediction system for the host-specific Iridoviridae family
    BMC Bioinformatics, 2019
    Co-Authors: Tao-chuan Shih, Li-ping Ho, Jen-leih Wu, Hsin-yiu Chou

    Abstract:

    Background The Iridoviridae family is categorized into five genera and clustered into two subfamilies: Alphairidovirinae includes Lymphocystivirus , Ranavirus (GIV), and Megalocystivirus (TGIV), which infect vertebrate hosts and Betairidovirinae includes Iridovirus and Chloriridovirus, which infect invertebrate hosts. Clustered Iridoviridae subfamilies possess host-specific characteristics, which can be considered as exclusive features for in-silico prediction of effective epitopes for vaccine development. A voting mechanism-based linear epitope (LE) prediction system was applied to identify and endorse LE candidates with a minimum length requirement for each clustered subfamily Results The experimental results showed that four conserved epitopes among the Iridovirideae family, one exclusive epitope for invertebrate subfamily and two exclusive epitopes for vertebrate family were predicted. These predicted LE candidates were further validated by ELISA assays for evaluating the strength of Antigenicity and cross Antigenicity. The conserved LEs for Iridoviridae family reflected high Antigenicity responses for the two subfamilies, while exclusive LEs reflected high Antigenicity responses only for the host-specific subfamily Conclusions Host-specific characteristics are important features and constraints for effective epitope prediction. Our proposed voting mechanism based system provides a novel approach for in silico LE prediction prior to vaccine development, and it is especially powerful for analyzing antigen sequences with exclusive features between two clustered groups.

  • A voting mechanism-based linear epitope prediction system for the host-specific Iridoviridae family
    BMC Bioinformatics, 2019
    Co-Authors: Tao-chuan Shih, Hsin-yiu Chou, Tun-wen Pai

    Abstract:

    The Iridoviridae family is categorized into five genera and clustered into two subfamilies: Alphairidovirinae includes Lymphocystivirus, Ranavirus (GIV), and Megalocystivirus (TGIV), which infect vertebrate hosts and Betairidovirinae includes Iridovirus and Chloriridovirus, which infect invertebrate hosts. Clustered Iridoviridae subfamilies possess host-specific characteristics, which can be considered as exclusive features for in-silico prediction of effective epitopes for vaccine development. A voting mechanism-based linear epitope (LE) prediction system was applied to identify and endorse LE candidates with a minimum length requirement for each clustered subfamily The experimental results showed that four conserved epitopes among the Iridovirideae family, one exclusive epitope for invertebrate subfamily and two exclusive epitopes for vertebrate family were predicted. These predicted LE candidates were further validated by ELISA assays for evaluating the strength of Antigenicity and cross Antigenicity. The conserved LEs for Iridoviridae family reflected high Antigenicity responses for the two subfamilies, while exclusive LEs reflected high Antigenicity responses only for the host-specific subfamily Host-specific characteristics are important features and constraints for effective epitope prediction. Our proposed voting mechanism based system provides a novel approach for in silico LE prediction prior to vaccine development, and it is especially powerful for analyzing antigen sequences with exclusive features between two clustered groups.

Yingjun Kong – One of the best experts on this subject based on the ideXlab platform.

  • aggregation and Antigenicity of virus like particle in salt solution a case study with hepatitis b surface antigen
    Vaccine, 2015
    Co-Authors: Yi Chen, Yan Zhang, Can Quan, Yanli Yang, Mengran Yu, Yingjun Kong, Zhiguo Su

    Abstract:

    The phenomenon of aggregation of virus-like particles (VLPs) in salt solution and the corresponding effect upon Antigenicity was reported. Asymmetrical flow field-flow fractionation (AF4) combined with multi-angle laser light scattering (MALLS) was used to characterize the size and the aggregation behavior of hepatitis 13 surface antigen (HBsAg). The average diameter of HBsAg VLP was 22.8 +/- 0.4 nm and it tended to aggregate in salt solution to form large particles and the Antigenicity changed accordingly. In 0-4 M NaCl solution, part of HBsAg molecules aggregated rapidly into oligomeric particles (OP), whose diameter distributed from 25 to 40 nm, and the Antigenicity slightly decreased about 10%. The aggregation reaction is reversible. After removing NaCl, both size and Antigenicity could recover to normal level (92-96%). By contrast, the aggregation process is more complicated in (NH4)(2)SO4 solution. Most of HBsAg particles aggregated into OP and further aggregated into polymeric particles (PP). The diameter of the PP could reach 40 to 140 nm. The concentration of (NH4)(2)SO4 had remarkable influence upon the rate of aggregation. When concentration of (NH4)(2)SO4 was below 1 M, most of HBsAg aggregated only into OP in 1 h. While with concentration of (NH4)(2)SO4 above 1 M, most of particles formed PP within 1 h. The aggregation process to PP was irreversible. After removing (NH4)(2)SO4, the large aggregates could not recover to normal particles and the remaining Antigenicity was below 30%. (C) 2015 Elsevier Ltd. All rights reserved.

  • aggregation and Antigenicity of virus like particle in salt solution a case study with hepatitis b surface antigen
    Vaccine, 2015
    Co-Authors: Yi Chen, Yan Zhang, Can Quan, Yanli Yang, Jian Luo, Yingjun Kong

    Abstract:

    The phenomenon of aggregation of virus-like particles (VLPs) in salt solution and the corresponding effect upon Antigenicity was reported. Asymmetrical flow field-flow fractionation (AF4) combined with multi-angle laser light scattering (MALLS) was used to characterize the size and the aggregation behavior of hepatitis 13 surface antigen (HBsAg). The average diameter of HBsAg VLP was 22.8 +/- 0.4 nm and it tended to aggregate in salt solution to form large particles and the Antigenicity changed accordingly. In 0-4 M NaCl solution, part of HBsAg molecules aggregated rapidly into oligomeric particles (OP), whose diameter distributed from 25 to 40 nm, and the Antigenicity slightly decreased about 10%. The aggregation reaction is reversible. After removing NaCl, both size and Antigenicity could recover to normal level (92-96%). By contrast, the aggregation process is more complicated in (NH4)(2)SO4 solution. Most of HBsAg particles aggregated into OP and further aggregated into polymeric particles (PP). The diameter of the PP could reach 40 to 140 nm. The concentration of (NH4)(2)SO4 had remarkable influence upon the rate of aggregation. When concentration of (NH4)(2)SO4 was below 1 M, most of HBsAg aggregated only into OP in 1 h. While with concentration of (NH4)(2)SO4 above 1 M, most of particles formed PP within 1 h. The aggregation process to PP was irreversible. After removing (NH4)(2)SO4, the large aggregates could not recover to normal particles and the remaining Antigenicity was below 30%. (C) 2015 Elsevier Ltd. All rights reserved.