A Long-Context Generative Foundation Model Deciphers RNA Design Principles
The paper introduces EVA, a long-context generative foundation model trained on over 114 million full-length RNA sequences that leverages a Mixture-of-Experts architecture to achieve state-of-the-art performance in deciphering RNA design principles and enabling versatile, controllable sequence engineering across diverse RNA classes.