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In Greek mythology, the sea god Proteus
possessed the power to shift forms and foresee
the future, adapting to any situation and guiding
the lost.

Similarly, in the science of life, proteins—the
ultimate molecular machines—have their functions encoded in a unique "language of life": their
amino acid sequences.

Fundamentally,
we are unable to read the protein "language"
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However, turning an ideal protein function into reality faces a massive bottleneck: the design process is too slow, too expensive, and too unpredictable.

We are trapped in a vast chasm between "functional vision" and "sequence implementation." It's as if we know we need a key, yet we must attempt to forge millions of them just to find one that barely works.

HOW TO SOLVE?

We present PROTEUS, a platform that fuses the ESM2 protein language model with contrastive learning to enable rapid, precise, and programmable design of functional proteins—delivering next-generation AI solutions for synthetic biology.

Our Achievements

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Innovative AI algorithm and model strategy
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Iterative and Evolutionary Scoring Function
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Integrated Computational - Experimental Platform with Self-Iteration
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Engineering and Transferability
PROTEUS: Decoding Protein Language, Programming Life's Functions.
Proteus Figure
One-click sequence input, AI-powered precise output of protein designs with enhanced functionality.

Tools & Collaborations

Empowering Innovation Through Open Science and Global Partnerships

ISO MATLAB NeuroSNAP NovoPro Origin Protenix Server Python Snapgene UniProt Icon 1 Icon 2 BIT-LLM Logo ISO MATLAB NeuroSNAP NovoPro Origin Protenix Server Python Snapgene UniProt Icon 1 Icon 2 BIT-LLM Logo