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Researchers at the University of California, Berkeley developed MULTI-evolve, a new artificial intelligence framework that dramatically speeds up synthetic protein design. Instead of multiple lab cycles, the system predicts optimal amino acid combinations in a single round by modeling how mutations interact.
Successfully tested on antibodies and gene editing applications, this AI-driven approach could accelerate breakthroughs in gene therapy, pharmaceuticals, and industrial biotechnology
