Making invisible excited-state structures of pro-interleukin-18 visible by combining NMR and machine learning

Read full text
Authors: Jeffrey P. Bonin, Jin Sub Lee, Zi Hao Liu, Philip M. Kim, Lewis E. Kay
Cited by: 4
References: 48

Abstract

NMR spectroscopy is a powerful tool for studies of protein dynamics over timescales extending more than twelve orders of magnitude, with motion queried at many of the backbone and sidechain positions in the molecule of interest. NMR experiments can, in principle, provide atomic resolution descriptions of excited conformational states that are sparsely populated and transiently formed-i.e., invisible, and there are examples of such structures in the literature. However, in other cases, the NMR data are not sufficient for generating structural ensembles of rare and transient higher energy conformers of the protein of interest. One example is provided by the precursor form of the proinflammatory cytokine interleukin-18, pro-IL-18, studied here. Although NMR studies show that pro-IL-18 adopts two sparsely populated (

Fields of Study & Subjects

Inflammasome and immune disorders Streptococcal Infections and Treatments Tryptophan and brain disorders

Publication details

Journal / source
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences
Volume
123
Issue
16
Pages
e2537014123–e2537014123
Publication date
17 April 2026
Language
EN