Helping people understand Protein LLMs with BioAI
BioAI
Team Leader: Steven Ness
- Founder of doi.bio: Mission to integrate biology and AI
- Extensive background in machine learning and user experience
- Previous experience at Google Research
- Expertise in structural biochemistry
The Emergence of Protein LLMs
- Intersection of AI and structural biology
- Alphafold2 revolutionizing protein structure prediction
- ESM3: Next-generation Protein LLM from Evolutionary Scale Modelling
- EvolutionaryScale.ai $168 million in VC funding
Complexities in Protein Research
- Growing interest in protein research
- High complexity combining structural biology and AI
- Lack of accessible educational resources
- BioAI: simplifying complex scientific literature
Focusing on ESM3
- Analyzing the 68-page ESM3 paper
- Focus on designing Green Fluorescent Proteins (GFPs)
- Methodology covers DNA synthesis and fluorescence testing
- Educational outreach utilizing extracted content
Leveraging Falcon AI
- Extraction of key facts from the ESM3 paper
- Development of tailored educational materials
- Script creation for expert and non-expert audiences
- High adaptability for diverse content formats
User-Friendly Interaction with BioAI
- Demonstration of BioAI's videos
- Engaging with complex content simplified
Analyzing Market Demand
- Rapidly growing intersection of biotech and AI
- Increased need for intuitive research tools
- BioAI's strategic fit for academic and industrial markets
- Opportunity for increased user engagement and education
Exploring Revenue Streams
- Subscription model for individuals and institutions
- Premium features for advanced analysis
- Potential partnerships with educational institutions
- Collaboration with biotech firms for joint ventures
Competitor Landscape
- Existing platforms lacking user-friendly interfaces
- BioAI’s simplicity and effectiveness in conveying research
- Unique ability to summarize complex research papers
- Focus on large language models in the biological context
Expanding Horizons
- Scalability of BioAI for diverse scientific fields
- Opportunities in other domains beyond proteins
- Partnerships with educational platforms for greater outreach
- Vision for a platform that evolves with the scientific community
Conclusion
- Addressing the gap in understanding LLM research
- Strong business and market potential
- Enhancing interactions with biological literature
- Thank you for engaging with the BioAI vision!
sness@sness.net