Rapid protein evolution by few-shot learning with a protein language model
K. Jiang, Z. Yan, M. D. Bernardo, S. R. Sgrizzi, L. Villiger, A. Kayabolen, B. Kim, J. K. Carscadden, M. Hiraizumi, H. Nishimasu, J. S. Gootenberg, O. O. Abudayyeh
This paper introduces EVOLVEpro, a few-shot learning framework using protein language models to rapidly improve protein activity with minimal experimental data.
bioRxiv · Jul 17, 2024 · PreprintBioengineering