ML Int&in
Computational MethodML Int&in is a machine learning–guided computational design method for identifying unnatural split sites in the fast split inteins gp41-1 and NrdJ-1. In the cited preprint, these designs yielded functional split intein variants with reduced fragment affinity and supported blue-light-activatable protein splicing systems that controlled Cre recombinase in mammalian cells.