PeptAI selected for Track 2 of Adaptyv Bio and Anthropic AI competition

Modal: Modal provides cloud infrastructure and compute resources optimized for AI and machine learning workloads, including GPU access for researchers and teams. It contributes credits to support computational aspects of AI projects in biology and other fields. The company is supplying compute credits for selected participants in the Adaptyv Bio and Anthropic Protein Design Competition. PeptAI: PeptAI is an autonomous AI agent platform focused on peptide drug discovery, where agents design candidates, validate them through computational gates, and enable experimental testing in a closed loop. The platform runs programs on multiple biological targets and emphasizes traceable reasoning from design to potential lab outcomes. It was selected for Track 2 of the Adaptyv Bio and Anthropic Protein Design Competition to explore AI-driven designs for drug candidates. Adaptivybio: Adaptyv Bio operates an automated wet lab specializing in protein design validation and hosts the Proteinbase platform for sharing experimental data. The company partners with AI organizations to enable large-scale testing of computational designs in real laboratory settings. It is co-organizing the Protein Design Competition with Anthropic, providing lab resources for participant submissions. Proteinbase: Proteinbase is a public repository launched by Adaptyv Bio that aggregates experimental data on AI-designed proteins, including sequences, structures, design methods, and validation results with negative outcomes. It enables researchers to compare approaches and build on shared findings across targets. Results from the Protein Design Competition will be published openly on the platform. Anthropic AI: Anthropic develops advanced AI models including Claude, which it applies to biomolecular modeling and protein design tasks. The company supports community efforts in AI-driven drug discovery through credits and partnerships. It is co-sponsoring the Protein Design Competition with Adaptyv Bio to advance experimental testing of AI-generated protein designs. AI Integration: Selected teams in Track 2 receive access to advanced Claude models alongside compute resources to support AI-assisted protein design efforts. Competition Scope: The Adaptyv Bio and Anthropic Protein Design Competition features multiple tracks and challenges focused on difficult protein design problems, with experimental validation provided for submissions. Open Data Sharing: All experimental results from the competition, including unsuccessful designs, will be published on Proteinbase to allow the broader research community to access and build upon the data.