2022
DOI: 10.1073/pnas.2117401119
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Interleukin-2 superkines by computational design

Abstract: Significance While computational engineering of therapeutic proteins is a desirable goal, in practice the optimization of protein–protein interactions requires substantial experimental intervention. We present here a computational approach that focuses on stabilizing core protein structures rather than engineering the protein–protein interface. Using this approach, we designed thermostabilized interleukin-2 (IL-2) variants that bind tightly to their receptor without experimental optimization, mimicki… Show more

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Cited by 15 publications
(8 citation statements)
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References 47 publications
(53 reference statements)
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“…2 and Box 1). Although these computational-based cytokine redesigns target the cytokine-receptor interface, new affinity-matured cytokines can also be engineered solely through computational-driven protein stabilization, as showcased in a proof-of-concept study with a new IL-2Rβ-selective variant 114 . This computational protein stabilization approach requires less experimental intervention compared to the receptor-interface-focused designs, such as STK-012 and NL-201, potentially decreasing the costs and time involved in computational cytokine engineering.…”
Section: Review Articlementioning
confidence: 99%
“…2 and Box 1). Although these computational-based cytokine redesigns target the cytokine-receptor interface, new affinity-matured cytokines can also be engineered solely through computational-driven protein stabilization, as showcased in a proof-of-concept study with a new IL-2Rβ-selective variant 114 . This computational protein stabilization approach requires less experimental intervention compared to the receptor-interface-focused designs, such as STK-012 and NL-201, potentially decreasing the costs and time involved in computational cytokine engineering.…”
Section: Review Articlementioning
confidence: 99%
“…Sequences were designed in Rosetta using an iterative enrichment procedure in which the Monte Carlo search space was narrowed down in successive rounds of design, based on amino acids enriched, or more frequently selected by the design algorithm, at each position [ 15 , 26 ]. During the sequence design process, we observed many different barrel eccentricities, suggesting that our syntax is amenable to more curvatures than the ones designed here (see Materials and Methods).…”
Section: Resultsmentioning
confidence: 99%
“…First, automated design was conducted with the relax/minimization step constrained to starting coordinates, to prevent changes to the β barrel curvature. Once the backbone architecture was stabilized, we refined the sequence using three rounds of an “iterative enrichment” protocol [ 26 ]. Each residue position was classified by manual inspection as a hydrophobic, solvent-exposed, or boundary (could be hydrophobic or polar) position.…”
Section: Methodsmentioning
confidence: 99%
“…Protein engineering approaches (experimental and computational) focused on structure-guided stabilization of metastable regions, rather than on the receptor binding interfaces, have been successfully applied to affinity maturation studies on IL-2. 82,83 Thermostable "IL-2 superkine" variants with increased affinity for the IL-2Rβ receptor were produced either by stabilizing protein loops, improving protein packing and/or redesigning the hydrophobic core of the protein.…”
Section: Molecular Dynamics Simulationsmentioning
confidence: 99%