Molecular de-extinction of ancient antimicrobial peptides enabled by machine learning

Jacqueline R. M. A. Maasch; Marcelo D. T. Torres; Marcelo C. R. Melo; Cesar de la Fuente-Nunez

doi:10.1101/2022.11.15.516443

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Molecular de-extinction of ancient antimicrobial peptides enabled by machine learning

Jacqueline R. M. A. Maasch, View ORCID ProfileMarcelo D. T. Torres, Marcelo C. R. Melo, View ORCID ProfileCesar de la Fuente-Nunez

doi: https://doi.org/10.1101/2022.11.15.516443

Jacqueline R. M. A. Maasch

1Department of Computer and Information Science, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

2Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania; Philadelphia, Pennsylvania, United States of America

3Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

4Penn Institute for Computational Science, University of Pennsylvania; Philadelphia, Pennsylvania, United States of America

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Marcelo D. T. Torres

3Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

4Penn Institute for Computational Science, University of Pennsylvania; Philadelphia, Pennsylvania, United States of America

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ORCID record for Marcelo D. T. Torres

Marcelo C. R. Melo

3Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

4Penn Institute for Computational Science, University of Pennsylvania; Philadelphia, Pennsylvania, United States of America

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Cesar de la Fuente-Nunez

3Departments of Bioengineering and Chemical and Biomolecular Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

4Penn Institute for Computational Science, University of Pennsylvania; Philadelphia, Pennsylvania, United States of America

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ORCID record for Cesar de la Fuente-Nunez
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Molecular de-extinction of ancient antimicrobial peptides enabled by machine learning

Jacqueline R. M. A. Maasch, Marcelo D. T. Torres, Marcelo C. R. Melo, Cesar de la Fuente-Nunez

bioRxiv 2022.11.15.516443; doi: https://doi.org/10.1101/2022.11.15.516443

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Molecular de-extinction of ancient antimicrobial peptides enabled by machine learning

Jacqueline R. M. A. Maasch, Marcelo D. T. Torres, Marcelo C. R. Melo, Cesar de la Fuente-Nunez

bioRxiv 2022.11.15.516443; doi: https://doi.org/10.1101/2022.11.15.516443

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