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Updated: Jul 24, 2025

A Guide to Production, Crystallization, and Structure Determination of Human IKK1/α
Published on: November 2, 2018
Structural modeling of cytokine-receptor-JAK2 signaling complexes using AlphaFold Multimer
Irina D Pogozheva1, Stanislav Cherepanov2, Sang-Jun Park3
1Department of Medicinal Chemistry, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109, United States.
Structural models reveal how class 1 cytokine receptors activate Janus Kinase 2 (JAK2) signaling. Ligand binding induces receptor dimerization and TM helix rotation, activating JAK2 and influencing cell growth and oncogenesis.
Area of Science:
- Biochemistry and Molecular Biology
- Cellular Signaling
- Structural Biology
Background:
- Class 1 cytokine receptors (EPOR, TPOR, CSF3R, GHR, PRLR) are single-pass transmembrane glycoproteins regulating crucial cellular processes.
- These receptors, upon ligand binding, form active signaling complexes with Janus Kinase 2 (JAK2).
- Limited structural information exists for complete transmembrane (TM) receptor-cytokine-JAK2 complexes, hindering understanding of JAK-STAT pathway activation.
Approach:
- Generated three-dimensional models of five human receptor complexes with cytokines and JAK2 using AlphaFold Multimer.
- Employed a stepwise assembly strategy for large complexes (3220–4074 residues), validating models against experimental data.
- Equilibrated models in explicit plasma membrane lipids for dynamic simulations.
Key Points:
- Proposed a general activation mechanism involving ligand-induced receptor dimerization and TM α-helix rotation, leading to JAK2 activation.
- Provided a potential binding mode for eltrombopag to the thrombopoietin receptor (TPOR) TM helices.
- Offered insights into the molecular basis of oncogenic mutations, including potential non-canonical activation routes.
Conclusions:
- The generated models provide a structural basis for understanding class 1 cytokine receptor activation and JAK-STAT signaling.
- These models facilitate the study of oncogenic mutations and drug interactions.
- Publicly available models support further research into receptor structure-function relationships and therapeutic target identification.
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