Designed active-site library reveals thousands of functional GFP variants
J. Y. Weinstein, C. M. G. Aldaravi, R. Lipsh-Sokolik, S. Y. Hoch, D. Liebermann, R. Nevo, H. Weissman, E. Petrovich-Kopitman, D. Margulies, D. Ivankov, D. McCandlish, S. J. Fleishman
The paper designs a library of functional GFP variants using a machine-learning approach, recovering over 16,000 unique sequences with improved thermostability and fluorescence properties.
bioRxiv · Oct 11, 2022 · PreprintBiochemistry