ANTIGENpro | Tool name | ANTIGENpro |
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| URL | http://scratch.proteomics.ics.uci.edu/ |
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| Important features | It is an alignment-free, sequence-based predictor that uses machine learning trained on historical protein microarray data. Because it does not rely directly on sequence homology (alignment to already known antigens), it excels at discovering truly novel protective antigens that older tools miss. |
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| Citations | N/A |
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| Year of publication | 2022 |
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| Rank by usage frequency | 93 |
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| Comments | Pathogen-independent / generalized protective antigens. |
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| Function | http://scratch.proteomics.ics.uci.edu/, It is an alignment-free, sequence-based predictor that uses machine learning trained on historical protein microarray data. Because it does not rely directly on sequence homology (alignment to already known antigens), it excels at discovering truly novel protective antigens that older tools miss., N/A, 2022, 93, Pathogen-independent / generalized protective antigens., General, Software/Tool, Tuberculosis, Bacterial, Most of the Organisms, Functional, Online, No, Yes, Gong, W., Pan, C., Cheng, P., Wang, J., Zhao, G., & Wu, X. (2022). Peptide-Based Vaccines for Tuberculosis. Frontiers in immunology, 13, 830497. https://doi.org/10.3389/fimmu.2022.830497, PMID: 35173740 , PMCID: PMC8841753, Tuberculosis, Online, 91, 44, 24 |
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