DeepAI Antibiotic Scaffolds Detector

DeepAI Antibiotic Scaffolds Detector uses deep learning to identify key chemical structures, visually highlighting components that enhance or hinder antibiotic effectiveness, accelerating the fight against antimicrobial resistance.

DeepAI Antibiotic Scaffolds Detector offers several competitive advantages: it accelerates antibiotic discovery by pinpointing key chemical structures, reduces R&D costs with precise predictions, and enhances the understanding of antibiotic activity through visual heatmaps. This tool empowers researchers to uncover novel scaffolds, ultimately leading to more effective treatments against antimicrobial resistance.

  • Antimicrobial compound/strategy
  • Infection prevention
  • Antimicrobial stewardship
  • Microbial diagnostics
  • Removal antibiotics/bacteria

  • Bacteria
  • Viruses
  • Fungi
  • Yeasts
  • Parasites

  • Human
  • Veterinary
  • AgriFood
  • Environmental
  • Other

Development stage:
  • Research
  • Development
  • Validation
  • Market entry
  • Marketed product

  • Academia
  • Company
  • Institute
  • NGO
  • Government

  • License
  • Co-develop
  • Joint Venture
  • Outsource
  • Sell

Funding organisation:
  • CARB-X
  • FIND
  • OTHER / NA

Infectious disease area:
  • UTI
  • BSI
  • RTI
  • SSTI
  • SSI
  • STI
  • GII
  • CNSI
  • IAI

Geographic origin:
  • Oceania
  • North America
  • South America
  • Eurasia
  • Africa

We seek partners with expertise in antimicrobial research, large compound libraries, and AI capabilities. Ideal partners are research institutions or pharmaceutical companies.

Our group initiated CO-ADD, a not-for-profit initiative led by academics at The University of Queensland. CO-ADD screens compounds for antimicrobial activity at no cost for academic research groups. Our goal is to assist researchers worldwide in discovering new, diverse compounds to combat drug-resistant infections, supporting global efforts to curb antimicrobial resistance.

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