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Mining for novel antibiotics in the age of antimicrobial resistance
Author(s) -
Udaondo Zulema,
Matilla Miguel A.
Publication year - 2020
Publication title -
microbial biotechnology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.287
H-Index - 74
ISSN - 1751-7915
DOI - 10.1111/1751-7915.13662
Subject(s) - antibiotic resistance , context (archaeology) , antimicrobial , antibiotics , biology , identification (biology) , exploit , computational biology , microbiology and biotechnology , data science , computer science , computer security , paleontology , botany
The emergence of antibiotic‐resistant microorganisms urges the development of novel antimicrobials that are effective against new targets and with low rates of resistance appearance. The combined use of modern multidisciplinary approaches including synthetic biology, genomics, metagenomics, proteomics, transcriptomics, metabolomics and computational tools are enabling progress in this re‐emerging research field.

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