Mining biology for antibiotic discovery

The rise of antibiotic resistance calls for innovative solutions. The realization that biology can be mined digitally using artificial intelligence has revealed a new paradigm for antibiotic discovery, offering hope in the fight against superbugs.

Authors

César de la Fuente‐Núñez (ORCID: https://orcid.org/0000-0002-2005-5629)

Institutions

Translational Therapeutics (United States) (US)
Penn Center for AIDS Research (US)
University of Pennsylvania (US)

Publication Details

Journal: PLoS Biology
Published: 2024-11-26
DOI: https://doi.org/10.1371/journal.pbio.3002946
Citations: 5
Primary Topic: vaccines and immunoinformatics approaches
Type: article
Field-Weighted Citation Impact: 1.17

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article

Mining biology for antibiotic discovery

César de la Fuente‐Núñez

Nov 26, 2024

5 citations

PLoS Biology

vaccines and immunoinformatics approaches

1.17

article

Mining biology for antibiotic discovery

César de la Fuente‐Núñez

November 26, 2024article en

5 citations

Abstract

PLoS BiologyVol. 22(11)

Translational Therapeutics (United States) (US), Penn Center for AIDS Research (US), University of Pennsylvania (US)

Openalex Percentile: Top 21%

vaccines and immunoinformatics approaches

1.17

DOI Open Access PDF OpenAlex

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Mining biology for antibiotic discovery — César de la Fuente‐Núñez · PLoS Biology (2024) | TGRS Research Map | TGRS