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Deep learning analysis of imaging and metabolomic data to accelerate antibiotic discovery against antimicrobial resistance

CORDIS · observation · Publication date unknown

Deep learning analysis of imaging and metabolomic data to accelerate antibiotic discovery against antimicrobial resistance Antimicrobial resistance (AMR) is one of the most pressing global health problems of our times. To counteract AMR, we urgently need new antibiotics, particularly with novel modes of action (MoA). However, while typical antibiotic screening pipelines can identify compounds that impair bacterial growth, they are unable to predict drug targets and MoA so must be followed up by time-consuming target identification steps. By synergizing our expertise in microbiology, genetics, advanced microscopy, metabolomics, medicinal chemistry, computational biology and artificial intelligence (AI), we propose to create a new pipeline at the forefront of the antibiotic discovery field that will be capable of informing simultaneously on the bioactivity and MoA of new antibiotic candida

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recordType

award

status

SIGNED

region

EU

value

10968734

unit

EUR