Immunostimulant Discovery Case Study

Precision immunostimulants: a molecular approach to saprolegnia control

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 P. salmonis 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
  • 0.25 μg/ml dose: Achieved optimal cell viability comparable to control
  • Higher doses (0.5-1 μg/ml): Showed dose-dependent response, maintaining effectiveness
  • Safety profile: Excellent biocompatibility across all tested concentrations
Verified Performance
  • ✓ 50% mortality reduction compared to untreated samples
  • ✓ Independent validation confirmed all results
  • ✓ Consistent efficacy across multiple experimental runs

Speed & Efficiency: Redefining Research Timelines

MetricTraditionalOur TechnologyImprovement
Time to Discovery2+ years3 months8x faster
Candidates ScreenedHundredsMillions10,000x more
Success Rate~10%50%+5x better

Why This Matters for Aquaculture

  • Sustainability Impact: Reduces antibiotic dependency, natural and environmentally friendly solution.
  • Economic Benefits: Lower treatment costs, reduced fish mortality, and faster time-to-market for new products.
  • Innovation Advantage: Discovers non-obvious protein candidates, predicts interactions before costly trials, and accelerates regulatory approval with safety data.

The Bottom Line: AI That Delivers Real Value

  • 8x faster than conventional R&D
  • 50% mortality reduction in controlled trials
  • 100% natural protein-based solution
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