Introducing AI-Powered Discovery for Cosmetic Innovation
Unlock the potential of advanced AI to revolutionize your cosmetic formulations. At theProphetAI, we specialize in discovering groundbreaking active ingredients that enhance the efficacy and appeal of your skincare products.
Why Choose theProphetAI?
Cutting-Edge Technology:
Harness the power of artificial intelligence and machine learning to identify the most effective natural compounds. Our sophisticated algorithms analyze millions of molecules to find the perfect match for your needs.
Expert Collaboration:
We collaborate with leading universities and research institutions to ensure the highest standards of scientific rigor. Benefit from the insights of top experts in genetic pathway analysis and cosmetic science. After this we train our neural networks on molecules/gene and once the machine learning finish, we apply our databases of millions of compounds, natual and or syntetic to find your molecule.
The IP of these molecules is your!
Customized Solutions:
Every project is tailored to your specific requirements. Whether you’re looking to combat aging, reduce inflammation, or discover the next big thing in skincare, we provide personalized, actionable insights.
Comprehensive Reports:
Receive detailed, professional reports that highlight the most promising substances, their efficacy, and potential sources. Our data-driven approach ensures you have the information you need to innovate with confidence.
- Scientific report with the pathways and gene involved
- Report on the AI results
- Report on the obtained scored molecules and relative plants/extracts
Ready to elevate your cosmetic research and development?
Contact us today to discover how theProphetAI can help you find the next breakthrough in active ingredients.
Identifying Anti-Inflammatory Peptides Using AI
To discover anti-inflammatory peptides, we use a combination of bioinformatics tools and experimental validation. Initially, databases like AntiInflamP and tools like PepCalc help predict potential peptides. Molecular docking and machine learning models are employed to screen candidates.
Procedure:
1) Data Collection: Gather known anti-inflammatory peptides.
2) In Silico Screening: Use neural networks to predict new candidates from thousands to millions of compounds.
3) Validation: Test peptides in cell-based assays and animal models.
4) Optimization: Refine peptides for efficacy and stability.
Technical notes:
Neural networks include Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).
Training on thousands of known peptides and testing on millions of new compounds.
This approach integrates advanced A.I. with rigorous testing to identify and optimize new anti-inflammatory peptides.
Screening Natural Actives for Cosmetic Companies
Screening natural actives is crucial for cosmetic companies to discover innovative ingredients that enhance product efficacy and appeal. Natural actives can offer unique benefits and align with consumer demand for natural and sustainable products.
Having the opportunity to select more than one molecules is important for have the gene-activities for the pathway desidered.
Return on Investments:
For a medium-sized company with a 5-person research lab:
Reagent Costs: Approximately $10,000 - $25,000 annually.
External Testing: Contract research organizations charge $5,000 - $15,000 per assay. Consider at least 5.
Literature Search: Estimated at 100 hours annually, translating to about $7,000 in labor costs.
Total Estimated Annual Cost: $22,000 - $47,000, depending on the number and complexity of assays and research intensity.
And what about time spent?
Using AI for screening can significantly reduce these costs by identifying promising candidates more efficiently