<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ren J</submitter><funding>G. Harold and Leila Y. Mathers Charitable Foundation</funding><funding>HHS | National Institutes of Health</funding><funding>U.S. Department of Energy</funding><funding>Howard Hughes Medical Institute</funding><funding>NIAID NIH HHS</funding><funding>Ludwig Institute for Cancer Research</funding><funding>NIGMS NIH HHS</funding><pagination>e2117401119</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8944926</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>119(12)</volume><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 </pubmed_abstract><journal>Proceedings of the National Academy of Sciences of the United States of America</journal><pubmed_title>Interleukin-2 superkines by computational design.</pubmed_title><pmcid>PMC8944926</pmcid><funding_grant_id>n/a</funding_grant_id><funding_grant_id>R37 AI051321</funding_grant_id><funding_grant_id>P30 GM133894</funding_grant_id><funding_grant_id>R01 AI051321</funding_grant_id><funding_grant_id>SciDAC</funding_grant_id><funding_grant_id>NIH-RO1-AI51321</funding_grant_id><funding_grant_id>MF-1802-00128</funding_grant_id><pubmed_authors>Picton LK</pubmed_authors><pubmed_authors>Garcia KC</pubmed_authors><pubmed_authors>Jude KM</pubmed_authors><pubmed_authors>Ren J</pubmed_authors><pubmed_authors>Chu AE</pubmed_authors><pubmed_authors>Huang PS</pubmed_authors><pubmed_authors>Montano Romero A</pubmed_authors><pubmed_authors>Su L</pubmed_authors><pubmed_authors>Kare AJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Interleukin-2 superkines by computational design.</name><description>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 </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2026-05-30T18:48:12.222Z</modification><creation>2024-12-04T03:40:27.49Z</creation></dates><accession>S-EPMC8944926</accession><cross_references><pubmed>35294290</pubmed><doi>10.1073/pnas.2117401119</doi></cross_references></HashMap>