Download MendeleyInterleukin-2 superkines by computational design.
Ren, J., Chu, A.E., Jude, K.M., Picton, L.K., Kare, A.J., Su, L., Montano Romero, A., Huang, P.S., Garcia, K.C.(2022) Proc Natl Acad Sci U S A 119: e2117401119-e2117401119
- PubMed: 35294290
- DOI: https://doi.org/10.1073/pnas.2117401119
- Primary Citation of Related Structures:
7RA9, 7RAA - PubMed Abstract:
Affinity maturation of protein–protein interactions is an important approach in the development of therapeutic proteins such as cytokines. Typical experimental strategies involve targeting the cytokine-receptor interface with combinatorial libraries and then selecting for higher-affinity variants. Mutations to the binding scaffold are usually not considered main drivers for improved affinity. Here we demonstrate that computational design can provide affinity-enhanced variants of interleukin-2 (IL-2) “out of the box” without any requirement for interface engineering. Using a strategy of global IL-2 structural stabilization targeting metastable regions of the three-dimensional structure, rather than the receptor binding interfaces, we computationally designed thermostable IL-2 variants with up to 40-fold higher affinity for IL-2Rβ without any library-based optimization. These IL-2 analogs exhibited CD25-independent activities on T and natural killer (NK) cells both in vitro and in vivo, mimicking the properties of the IL-2 superkine “super-2” that was engineered through yeast surface display [A. M. Levin et al., Nature, 484, 529–533 (2012)]. Structure-guided stabilization of cytokines is a powerful approach to affinity maturation with applications to many cytokine and protein–protein interactions.
Organizational Affiliation:
Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305.
