Evolutionary Scale Models (ESMs) use deep learning to analyze biological sequences, predicting protein structures and functions by learning evolutionary patterns from vast genomic data. Researchers in drug discovery, synthetic biology, and bioengineering benefit by accelerating molecular design, understanding mutations, and optimizing enzymes without costly lab experiments.
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