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IDEA AI4Science

The International Digital Economy Academy ("IDEA") x-disciplinary research

Hi there 👋

IDEA-XL (AI for Science)

Welcome to the official GitHub organization for IDEA-XL, the AI for Science team at the International Digital Economy Academy (IDEA). We are a cross-disciplinary research group dedicated to advancing scientific discovery through cutting-edge AI.

Our research is focused on the intersection of artificial intelligence and the natural sciences, with a particular emphasis on chemistry, biology, and drug discovery. We develop novel models and datasets to tackle complex scientific challenges.

Our Mission

We believe that AI has the potential to revolutionize scientific research. Our mission is to build powerful tools that accelerate discovery and innovation in the sciences.

Get in Touch

To learn more about our work, visit our website at idea.edu.cn. For collaboration inquiries, please reach out through our official channels.

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  1. InstructMol InstructMol Public

    InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (COLING 2025)

    Python 54 8

  2. PRESTO PRESTO Public

    PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes [EMNLP 2024]

    Python 28 4

  3. LigUnity LigUnity Public

    Official implementation for LigUnity: Hierarchical affinity landscape navigation through learning a shared pocket-ligand space.

    Python 58 10

  4. RAPM RAPM Public

    Code for paper "Rethinking Text-based Protein Understanding: Retrieval or LLM?"

    Python 20 5

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