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Why Protein?
Core Features Section
Roadmap for the Platform
DECENTRALIZED COLLABORATION
SHARED GPU POWER
ADVANCED PREDICTION MODELS
Revolutionizing Protein Structure Prediction

Join a decentralized global community accelerating protein science with cutting-edge tools and shared resources.

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Platform Development Roadmap
Phase 1: Platform Foundation (Q1 - Q2)
  • Develop the shared GPU pool system for decentralized computation.
  • Ensure seamless integration of core protein prediction tools for effective task management.
  • Launch user-friendly interfaces for task submission and results visualization.
    • Phase 2: Platform Features Expansion (Q3 - Q4)
    DeSci-DAO Development Roadmap
    Phase 1: Community Foundation (Q1 - Q2)
  • Establish a decentralized governance framework (DeSci-DAO) to support research projects.
  • Create community guidelines and ensure transparent decision-making.
  • Recruit key contributors and early adopters for governance roles.
    • Phase 2: Community Growth (Q3 - Q4)

    Roadmap for the Platform

    Core Features Section
    Shared GPU Power

    Access a global GPU pool for high-performance protein simulations. GPU contributors support scientific advancements.

    Advanced Prediction Models

    Run state-of-the-art tools like AlphaFold, Rosetta, and OpenFold for precise protein structure prediction. Flexible support for custom models.

    Decentralized Collaboration

    Collaborate globally through a decentralized science (DeSci) framework, enabling transparent data sharing and community-driven research.

    Why Protein?
    Proteins are fundamental to all biological processes and understanding their structures can unlock breakthroughs in medicine, biotechnology, and more.
    Accurate protein structure prediction can accelerate drug discovery and improve treatments for complex diseases.
    With advances in AI and computational power, we have an unprecedented opportunity to revolutionize protein science and contribute to global scientific progress.