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Molecular Mimicry Map (3M) of SARS-CoV-2: Prediction of potentially immunopathogenic SARS-CoV-2 epitopes via a novel immunoinformatic approach
View ORCID ProfileHyunsu An, View ORCID ProfileJihwan Park
doi: https://doi.org/10.1101/2020.11.12.344424
Hyunsu An
1School of Life Sciences, Gwangju Institute of Science and Technology (GIST), Republic of Korea
Jihwan Park
1School of Life Sciences, Gwangju Institute of Science and Technology (GIST), Republic of Korea
2Laboratory for cell mechanobiology, Gwangju Institute of Science and Technology (GIST), Republic of Korea
Posted November 12, 2020.
Molecular Mimicry Map (3M) of SARS-CoV-2: Prediction of potentially immunopathogenic SARS-CoV-2 epitopes via a novel immunoinformatic approach
Hyunsu An, Jihwan Park
bioRxiv 2020.11.12.344424; doi: https://doi.org/10.1101/2020.11.12.344424
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