Review





Similar Products

immunoinformatic tools  (DNASTAR)
90
DNASTAR immunoinformatic tools
Immunoinformatic Tools, supplied by DNASTAR, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/immunoinformatics/immunoinformatic+tools/10__1016_slash_j__foodhyd__2024__110929-232-4-6
Average 90 stars, based on 1 article reviews
immunoinformatic tools - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier
immunoinformatics and vaccine design  (EpiVax Inc)
90
EpiVax Inc immunoinformatics and vaccine design
Immunoinformatics And Vaccine Design, supplied by EpiVax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/immunoinformatics/immunoinformatics+tools/pmc12043479-314-17-10
Average 90 stars, based on 1 article reviews
immunoinformatics and vaccine design - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier
immunoinformatics  (Nikon)
99
Nikon immunoinformatics
Immunoinformatics, supplied by Nikon, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/immunoinformatics/NIS-Elements/pm39612244-220-231-235
Average 99 stars, based on 1 article reviews
immunoinformatics - by Bioz Stars, 2026-09
99/100 stars
  Buy from Supplier
ivax immunoinformatic toolkit  (EpiVax Inc)
90
EpiVax Inc ivax immunoinformatic toolkit
Ivax Immunoinformatic Toolkit, supplied by EpiVax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/immunoinformatics/ivax+immunoinformatic+toolkit/pm38054724-399-8-11
Average 90 stars, based on 1 article reviews
ivax immunoinformatic toolkit - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier
immunoinformatics investigation  (Biotechnology Information)
90
Biotechnology Information immunoinformatics investigation
Immunoinformatics Investigation, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/immunoinformatics/immunoinformatics+investigation/ppr0785525-47-13-11
Average 90 stars, based on 1 article reviews
immunoinformatics investigation - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier
immunoinformatic tools  (EpiVax Inc)
90
EpiVax Inc immunoinformatic tools
<t>Immunoinformatic</t> strategy to identify MHC I and MHC II T cell epitopes. (A) The entire sequence of ZIKV strain PRVABC59 and 104 additional ZIKV strains were parsed into 9- and 10-mer frames, and conserved sequences predicted to bind to 6 MHC I supertypes and 9 common MHC II alleles were identified using Conservatrix and EpiMatrix algorithms. Promiscuous panDR clusters (DR) were generated from overlapping frames predicted to bind multiple MHC II alleles using the ClustiMer algorithm (16-27 amino acids). Sequences with high homology with human proteins (potential human cross-reactive sequences) were excluded using the JanusMatrix algorithm. (B) Shown is an example (Cluster DR1) of an EpiMatrix Cluster Report. Z-score indicates the potential of a 9-mer frame to bind to a given HLA allele; the strength of the score is indicated by the blue shading. Scores in the top 5% (Z-score ≥1.64) are considered “Hits”. *Z-scores in the top 10% are considered elevated, other scores grayed for simplicity. Frames containing four or more alleles scoring above 1.64 are referred to as EpiBars and are highlighted in yellow. Flanking amino acids, added to stabilize the cluster during in vitro testing, are underlined. The EpiMatrix Cluster Score is derived from the sum of Z-scores of EpiMatrix hits, normalized for the length of the cluster. Thus, EpiMatrix Cluster Score represents the excess or shortfall in predicted aggregate immunogenicity relative to a random peptide standard. Cluster Scores above 10 indicate significant potential for promiscuous response. (C) The 25-30 conserved ZIKV peptides predicted to bind the 6 MHC I supertypes and 33 clusters predicted to promiscuously bind human HLA-DR were synthesized for further study. The locations of each putative epitope or cluster within the ZIKV polyprotein are shown.
Immunoinformatic Tools, supplied by EpiVax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/immunoinformatics/immunoinformatics+tools/pmc10497216-163-0-5
Average 90 stars, based on 1 article reviews
immunoinformatic tools - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier
immunoinformatic analysis  (EpiVax Inc)
90
EpiVax Inc immunoinformatic analysis
<t>Immunoinformatic</t> strategy to identify MHC I and MHC II T cell epitopes. (A) The entire sequence of ZIKV strain PRVABC59 and 104 additional ZIKV strains were parsed into 9- and 10-mer frames, and conserved sequences predicted to bind to 6 MHC I supertypes and 9 common MHC II alleles were identified using Conservatrix and EpiMatrix algorithms. Promiscuous panDR clusters (DR) were generated from overlapping frames predicted to bind multiple MHC II alleles using the ClustiMer algorithm (16-27 amino acids). Sequences with high homology with human proteins (potential human cross-reactive sequences) were excluded using the JanusMatrix algorithm. (B) Shown is an example (Cluster DR1) of an EpiMatrix Cluster Report. Z-score indicates the potential of a 9-mer frame to bind to a given HLA allele; the strength of the score is indicated by the blue shading. Scores in the top 5% (Z-score ≥1.64) are considered “Hits”. *Z-scores in the top 10% are considered elevated, other scores grayed for simplicity. Frames containing four or more alleles scoring above 1.64 are referred to as EpiBars and are highlighted in yellow. Flanking amino acids, added to stabilize the cluster during in vitro testing, are underlined. The EpiMatrix Cluster Score is derived from the sum of Z-scores of EpiMatrix hits, normalized for the length of the cluster. Thus, EpiMatrix Cluster Score represents the excess or shortfall in predicted aggregate immunogenicity relative to a random peptide standard. Cluster Scores above 10 indicate significant potential for promiscuous response. (C) The 25-30 conserved ZIKV peptides predicted to bind the 6 MHC I supertypes and 33 clusters predicted to promiscuously bind human HLA-DR were synthesized for further study. The locations of each putative epitope or cluster within the ZIKV polyprotein are shown.
Immunoinformatic Analysis, supplied by EpiVax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/immunoinformatics/immunoinformatics+tools/pmc09149306-344-20-14
Average 90 stars, based on 1 article reviews
immunoinformatic analysis - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier
artificial intelligence systems for immunoinformatics  (Kiromic LLC)
90
Kiromic LLC artificial intelligence systems for immunoinformatics
<t>Immunoinformatic</t> strategy to identify MHC I and MHC II T cell epitopes. (A) The entire sequence of ZIKV strain PRVABC59 and 104 additional ZIKV strains were parsed into 9- and 10-mer frames, and conserved sequences predicted to bind to 6 MHC I supertypes and 9 common MHC II alleles were identified using Conservatrix and EpiMatrix algorithms. Promiscuous panDR clusters (DR) were generated from overlapping frames predicted to bind multiple MHC II alleles using the ClustiMer algorithm (16-27 amino acids). Sequences with high homology with human proteins (potential human cross-reactive sequences) were excluded using the JanusMatrix algorithm. (B) Shown is an example (Cluster DR1) of an EpiMatrix Cluster Report. Z-score indicates the potential of a 9-mer frame to bind to a given HLA allele; the strength of the score is indicated by the blue shading. Scores in the top 5% (Z-score ≥1.64) are considered “Hits”. *Z-scores in the top 10% are considered elevated, other scores grayed for simplicity. Frames containing four or more alleles scoring above 1.64 are referred to as EpiBars and are highlighted in yellow. Flanking amino acids, added to stabilize the cluster during in vitro testing, are underlined. The EpiMatrix Cluster Score is derived from the sum of Z-scores of EpiMatrix hits, normalized for the length of the cluster. Thus, EpiMatrix Cluster Score represents the excess or shortfall in predicted aggregate immunogenicity relative to a random peptide standard. Cluster Scores above 10 indicate significant potential for promiscuous response. (C) The 25-30 conserved ZIKV peptides predicted to bind the 6 MHC I supertypes and 33 clusters predicted to promiscuously bind human HLA-DR were synthesized for further study. The locations of each putative epitope or cluster within the ZIKV polyprotein are shown.
Artificial Intelligence Systems For Immunoinformatics, supplied by Kiromic LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/immunoinformatics/artificial+intelligence+systems+for+immunoinformatics/pm34826586-11-53-54
Average 90 stars, based on 1 article reviews
artificial intelligence systems for immunoinformatics - by Bioz Stars, 2026-09
90/100 stars
  Buy from Supplier

Image Search Results


Immunoinformatic strategy to identify MHC I and MHC II T cell epitopes. (A) The entire sequence of ZIKV strain PRVABC59 and 104 additional ZIKV strains were parsed into 9- and 10-mer frames, and conserved sequences predicted to bind to 6 MHC I supertypes and 9 common MHC II alleles were identified using Conservatrix and EpiMatrix algorithms. Promiscuous panDR clusters (DR) were generated from overlapping frames predicted to bind multiple MHC II alleles using the ClustiMer algorithm (16-27 amino acids). Sequences with high homology with human proteins (potential human cross-reactive sequences) were excluded using the JanusMatrix algorithm. (B) Shown is an example (Cluster DR1) of an EpiMatrix Cluster Report. Z-score indicates the potential of a 9-mer frame to bind to a given HLA allele; the strength of the score is indicated by the blue shading. Scores in the top 5% (Z-score ≥1.64) are considered “Hits”. *Z-scores in the top 10% are considered elevated, other scores grayed for simplicity. Frames containing four or more alleles scoring above 1.64 are referred to as EpiBars and are highlighted in yellow. Flanking amino acids, added to stabilize the cluster during in vitro testing, are underlined. The EpiMatrix Cluster Score is derived from the sum of Z-scores of EpiMatrix hits, normalized for the length of the cluster. Thus, EpiMatrix Cluster Score represents the excess or shortfall in predicted aggregate immunogenicity relative to a random peptide standard. Cluster Scores above 10 indicate significant potential for promiscuous response. (C) The 25-30 conserved ZIKV peptides predicted to bind the 6 MHC I supertypes and 33 clusters predicted to promiscuously bind human HLA-DR were synthesized for further study. The locations of each putative epitope or cluster within the ZIKV polyprotein are shown.

Journal: Frontiers in Immunology

Article Title: Identification of immunodominant T cell epitopes induced by natural Zika virus infection

doi: 10.3389/fimmu.2023.1247876

Figure Lengend Snippet: Immunoinformatic strategy to identify MHC I and MHC II T cell epitopes. (A) The entire sequence of ZIKV strain PRVABC59 and 104 additional ZIKV strains were parsed into 9- and 10-mer frames, and conserved sequences predicted to bind to 6 MHC I supertypes and 9 common MHC II alleles were identified using Conservatrix and EpiMatrix algorithms. Promiscuous panDR clusters (DR) were generated from overlapping frames predicted to bind multiple MHC II alleles using the ClustiMer algorithm (16-27 amino acids). Sequences with high homology with human proteins (potential human cross-reactive sequences) were excluded using the JanusMatrix algorithm. (B) Shown is an example (Cluster DR1) of an EpiMatrix Cluster Report. Z-score indicates the potential of a 9-mer frame to bind to a given HLA allele; the strength of the score is indicated by the blue shading. Scores in the top 5% (Z-score ≥1.64) are considered “Hits”. *Z-scores in the top 10% are considered elevated, other scores grayed for simplicity. Frames containing four or more alleles scoring above 1.64 are referred to as EpiBars and are highlighted in yellow. Flanking amino acids, added to stabilize the cluster during in vitro testing, are underlined. The EpiMatrix Cluster Score is derived from the sum of Z-scores of EpiMatrix hits, normalized for the length of the cluster. Thus, EpiMatrix Cluster Score represents the excess or shortfall in predicted aggregate immunogenicity relative to a random peptide standard. Cluster Scores above 10 indicate significant potential for promiscuous response. (C) The 25-30 conserved ZIKV peptides predicted to bind the 6 MHC I supertypes and 33 clusters predicted to promiscuously bind human HLA-DR were synthesized for further study. The locations of each putative epitope or cluster within the ZIKV polyprotein are shown.

Article Snippet: Proprietary immunoinformatic tools developed at EpiVax were utilized for selection of putative T cell epitopes and epitope clusters.

Techniques: Sequencing, Generated, In Vitro, Derivative Assay, Immunopeptidomics, Synthesized