Abstract
Antifungal killer toxins are cytotoxic proteins that have the potential to combat the growing threat of fungi to human health and agriculture. A lack of empirical tertiary structures has limited understanding of their mechanisms of action and their ability to target pathogens. In this study, AlphaFold and molecular dynamics simulations were used to generate tertiary structure models of all canonical
killer toxins and to place them in the context of historical empirical data. These models enabled the prediction of functional domains and posttranslational modifications, including proteolytic cleavage sites and disulfide bonds. They also revealed unexpected homology between
killer toxins, suggesting that all but K28 are likely ionophores. Structural homology to the well-studied killer toxins K1 and K2 enabled the prediction of the antifungal and immunity mechanisms of K1L, K21, K45, K74, and KHS. The understudied killer toxins Klus, KHR, and K62 were found to have homology to bacterial and plant toxins, including members of the aerolysin family and antifungal lectins. These structural similarities provide clues for the mechanisms of killer toxin carbohydrate binding, oligomerization, and membrane attack. This modeling approach will help guide the continued use of the model yeast S. cerevisiae to study killer toxins in the context of the wealth of functional data gathered in the decades since their first discovery.