APRANK: computational prioritization of antigenic proteins and peptides from complete pathogen proteomes

Alejandro D. Ricci; Mauricio Brunner; Diego Ramoa; Santiago J. Carmona; Morten Nielsen; Fernán Agüero

doi:10.1101/2021.04.27.441630

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APRANK: computational prioritization of antigenic proteins and peptides from complete pathogen proteomes

View ORCID ProfileAlejandro D. Ricci, Mauricio Brunner, Diego Ramoa, View ORCID ProfileSantiago J. Carmona, View ORCID ProfileMorten Nielsen, View ORCID ProfileFernán Agüero

doi: https://doi.org/10.1101/2021.04.27.441630

Alejandro D. Ricci

1Instituto de Investigaciones Biotecnológicas “Rodolfo Ugalde” (IIB), Universidad de San Martín (UNSAM) – Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), San Martín, B1650HMP, Buenos Aires, Argentina

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Mauricio Brunner

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Diego Ramoa

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Santiago J. Carmona

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Morten Nielsen

2Department of Health Technology, The Technical University of Denmark, Lyngby, Denmark

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Fernán Agüero

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For correspondence: fernan@iib.unsam.edu.ar

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Posted April 28, 2021.

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APRANK: computational prioritization of antigenic proteins and peptides from complete pathogen proteomes

Alejandro D. Ricci, Mauricio Brunner, Diego Ramoa, Santiago J. Carmona, Morten Nielsen, Fernán Agüero

bioRxiv 2021.04.27.441630; doi: https://doi.org/10.1101/2021.04.27.441630

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APRANK: computational prioritization of antigenic proteins and peptides from complete pathogen proteomes

Alejandro D. Ricci, Mauricio Brunner, Diego Ramoa, Santiago J. Carmona, Morten Nielsen, Fernán Agüero

bioRxiv 2021.04.27.441630; doi: https://doi.org/10.1101/2021.04.27.441630

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