Immunostimulant Discovery Case Study

Precision immunostimulants: a molecular approach

AI-Powered Protein & Peptide Discovery for Salmon Health

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Roberto IbanezChief Technology OfficerPublished: January 2025

The Challenge: Combating a Silent Killer in Salmon Farming

Piscirickettsia salmonis causes Salmon Rickettsial Septicemia (SRS), one of the most devastating diseases in salmon aquaculture. This bacterial pathogen costs the industry millions annually through mortality, reduced growth, and expensive antibiotic treatments. The industry urgently needed a sustainable, natural solution that could boost salmon immunity without harmful side effects.

Our Solution: AI-Powered Protein/Peptide Discovery

  1. AI-Assisted Literature Mining: Intelligent agents rapidly analyzed decades of scientific research, extracting critical insights about proteins with immune response capabilities. What would take human researchers months was completed in hours.
  2. Differential Molecular Analysis: The AI performed comparative genomics between <i>P. salmonis</i> and salmon genomes, ensuring selected proteins wouldn't trigger toxicity or allergic reactions. This crucial safety step eliminated candidates that could harm the fish.
  3. Virtual Protein/Peptide Screening: Millions of plant-derived proteins and peptides were simulated and evaluated for binding affinity, stability, and bioavailability using machine learning models.
  4. Smart Candidate Selection: The AI recommended proteins with the highest probability of success and lowest toxicity risk, narrowing millions of possibilities to just two promising candidates.

Game-Changing Outcomes

Candidate A: The Winner
  • 50% reduction in mortality when salmon were challenged with <i>P. salmonis</i>
  • Zero toxicity in cell cultures
  • No negative impact on growth performance
  • 100% natural, plant-derived protein
Candidate B: Promising but Not Ideal
  • 30% reduction in mortality
  • Minimal toxicity detected
  • Slightly lower bioavailability

Performance Comparison: Traditional vs. Our Technology

MetricTraditional ApproachOur Technology
Mortality Reduction10-20%50%
Development Timeline2-3 years3 months
R&D Cost$500K-$1M$50K

Measurable Impact

  • 50% reduction in salmon mortality from SRS
  • 90% reduction in development time (3 months vs. 2-3 years)
  • 95% cost savings in R&D ($50K vs. $500K-$1M)

The Bottom Line

  • AI-driven discovery is not just faster—it's smarter
  • Natural solutions can outperform traditional approaches
  • The future of aquaculture health is here

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