ESM3: Revolutionizing Protein Engineering with AI
Unveiling the Power of ESM3
ESM3, an advanced generative language model, simulates evolutionary processes to create functional proteins vastly different from known ones. It integrates sequence, structure, and function to generate proteins following complex prompts, offering creative solutions to biological challenges.
Key Features of ESM3
ESM3 is a sophisticated generative language model designed to understand and predict proteins’ sequence, structure, and function using tokenized data. It employs a masked language modeling approach to predict masked portions of protein data across various masking rates. Trained on vast datasets, including 2.78 billion proteins and 236 million structures, ESM3 scales up to 98 billion parameters, enabling high accuracy in generating and reconstructing protein structures.
Versatile Generative Capabilities
ESM3 effectively predicts and generates protein sequences, structures, and functions, excelling at following prompts from various inputs and producing novel protein designs. Its versatility facilitates advanced, programmable protein design and exploration beyond natural evolutionary patterns.
Enhancing Performance through Scaling and Fine-Tuning
Scaling and fine-tuning ESM3 models significantly enhance their ability to generate proteins that align with complex prompts, doubling the success rate in generating accurate protein structures and increasing the diversity of successful solutions.
Simulating Evolutionary Potential
ESM3 can explore protein spaces that evolution hasn’t, effectively simulating millions of years of evolutionary potential in generating new functional proteins, offering a revolutionary approach to protein engineering.
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