QM/MM Free Energy Calculations of IRE1 Reveal a Unique Protonation State of the Catalytic Lys599

  • Antonio Carlesso
  • , Paolo Conflitti
  • , Sayyed Jalil Mahdizadeh
  • , Giuseppe Deganutti
  • , Leif A Eriksson
  • , Vittorio Limongelli

    Research output: Contribution to journalArticlepeer-review

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    Abstract

    Inositol Requiring Enzyme 1 (IRE1) is a bifunctional serine/threonine kinase and endoribonuclease identified as therapeutic target in multiple diseases. Inspired by the recent work on the assessment of lysine and cysteine reactivities, we present a simple and intuitive protocol for the assessment of reactive lysine, while characterizing a unique protonation state of Lys599 located in the kinase domain. Using Quantum Mechanics/Molecular Mechanics (QM/MM) calculations, QM/MM well-tempered metadynamics simulations (QM/MM WT-MetaD), and classical Molecular Dynamics (MD), we have investigated inhibitor binding in three different states of the IRE1 kinase: (i) DFG-in/αC-in (DICI) conformation; (ii) the DFG-out/αC-out (DOCO) conformation, and (iii) the DFG-in/αC-out (DICO) conformation. Our findings reveal a unique proton transfer from the sidechain of the β3-strand Lys599 to Glu612 of the αC-helix. Our results allow for accurately defining the geometry of the hydrogen bonds occurring in the IRE1 kinase active state and distinguishing structurally closely related inactive states by analyzing the formation/disruption of crucial hydrogen bonds in the Lys599-Glu612-Asp711 triad. Our work prompts further studies in IRE1 and other kinases to characterize possibly conserved drug binding mechanisms that might lead to a novel structural paradigm in kinase drug discovery.

    Original languageEnglish
    Article numbere70288
    Number of pages11
    JournalJournal of Computational Chemistry
    Volume46
    Issue number31
    Early online date4 Dec 2025
    DOIs
    Publication statusPublished - 5 Dec 2025

    Bibliographical note

    © 2025 The Author(s). Journal of Computational Chemistry published by Wiley Periodicals LLC.


    This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

    Funding

    This work was supported by Cancerfonden, 211447-Pj, Elisabeth and Alfred Ahlqvist's Foundation, Postdoctoral funding, The Foundation Blanceflor, and H2020 European Research Council, 101001784. This research was funded by Elisabeth and Alfred Ahlqvists Foundation (AC), The Foundation Blanceflor (AC), the Faculty of Science at the University of Gothenburg and the Swedish Cancer Foundation (grant number 211447-Pj) (LAE). The authors thank the National Academic Infrastructure for Supercomputing in Sweden (NAISS) for generous allocations of computing time at supercomputing centers C3SE and PDC, in part funded by the Swedish Research Council through grant agreement no. 2022-06725. Vittorio Limongelli acknowledges funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (“CoMMBi” ERC grant agreement No. 101001784), the Swiss National Science Foundation (SNSF) (grant number IC00I0-231546), and the Swiss National Supercomputing Centre (CSCS) under project ID lp40 and u8. The authors gratefully acknowledge Filippo Lessio for his help in designing the IRE1 schematic representation. This research was funded by Elisabeth and Alfred Ahlqvists Foundation (AC), The Foundation Blanceflor (AC), the Faculty of Science at the University of Gothenburg and the Swedish Cancer Foundation (grant number 211447‐Pj) (LAE). The authors thank the National Academic Infrastructure for Supercomputing in Sweden (NAISS) for generous allocations of computing time at supercomputing centers C3SE and PDC, in part funded by the Swedish Research Council through grant agreement no. 2022‐06725. Vittorio Limongelli acknowledges funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (“CoMMBi” ERC grant agreement No. 101001784), the Swiss National Science Foundation (SNSF) (grant number IC00I0‐231546), and the Swiss National Supercomputing Centre (CSCS) under project ID lp40 and u8. The authors gratefully acknowledge Filippo Lessio for his help in designing the IRE1 schematic representation. This work was supported by Cancerfonden, 211447‐Pj, Elisabeth and Alfred Ahlqvist's Foundation, Postdoctoral funding, The Foundation Blanceflor, and H2020 European Research Council, 101001784.

    FundersFunder number
    Foundation Blanceflor
    Horizon Europe
    University of Gothenburg
    European Research Council
    Elisabeth och Alfred Ahlqvists foundation
    Centro Svizzero di Calcolo Scientificolp40
    Vetenskapsrådet2022‐06725
    Horizon Europe101001784
    Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungIC00I0‐231546
    Swedish Cancer Foundation211447‐Pj

      Keywords

      • Protein Serine-Threonine Kinases/chemistry
      • Protons
      • Quantum Theory
      • Lysine/chemistry
      • Molecular Dynamics Simulation
      • Thermodynamics
      • Endoribonucleases/chemistry
      • Humans

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