Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens

Research article (Bioinformatics, 2020) · cited 162× · AI/ML
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Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens

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Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens. Retrieved May 24, 2026, from https://4ort.xyz/entity/vaxign-ml-supervised-machine-learning-reverse-vaccinology-model-for-improved-prediction-of-bacterial-protective-antigens
MLA “Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vaxign-ml-supervised-machine-learning-reverse-vaccinology-model-for-improved-prediction-of-bacterial-protective-antigens.
BibTeX @misc{4ortxyz_vaxign-ml-supervised-machine-learning-reverse-vaccinology-model-for-improved-prediction-of-bacterial-protective-antigens_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens}}, year = {2026}, url = {https://4ort.xyz/entity/vaxign-ml-supervised-machine-learning-reverse-vaccinology-model-for-improved-prediction-of-bacterial-protective-antigens}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens — https://4ort.xyz/entity/vaxign-ml-supervised-machine-learning-reverse-vaccinology-model-for-improved-prediction-of-bacterial-protective-antigens (retrieved 2026-05-24)

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