Insights into the Microscopic Structure of RNF4-SIM-SUMO Complexes from MD Simulations
Alex Kötter1, Henning D Mootz2, Andreas Heuer1
1Institut für Physikalische Chemie, Westfälische Wilhelms-Universität Münster, Münster, Germany; Center for Multiscale Theory and Computation, Westfälische Wilhelms-Universität Münster, Münster, Germany.
Biophysical Journal
|September 25, 2020
Summary
Small ubiquitin-like modifier (SUMO) interactions with SUMO interacting motifs (SIMs) are crucial for protein regulation. Molecular dynamics simulations revealed how SUMO3 binds SIM2 and SIM3 peptides, clarifying complex affinities and interfaces.
Area of Science:
- Biochemistry
- Structural Biology
- Computational Biology
Background:
- Post-translational modification by small ubiquitin-like modifiers (SUMO) impacts thousands of human proteins.
- SUMOylation events are translated into functional outcomes through the binding of SUMO to SUMO interacting motifs (SIMs).
- The E3 ubiquitin ligase RNF4, featuring multiple SIMs, links SUMOylation to the ubiquitin pathway, with SIM2 and SIM3 being key for recognizing SUMO chains.
Purpose of the Study:
- To investigate the properties of complexes formed by SUMO3 with peptides containing SIM2 or SIM3 using molecular dynamics simulations.
- To determine the affinities of these SIM-SUMO complexes using a free energy protocol and compare with experimental data.
- To provide a new interpretation of the SIM-SUMO interface structure and identify key interaction sites.
Main Methods:
- Molecular dynamics (MD) simulations were employed to study SUMO3-peptide complexes.
- A state-of-the-art free energy protocol was utilized to determine binding affinities.
- Long unrestrained simulations were performed to analyze the structural dynamics of the SIM-SUMO interface.
Main Results:
- The calculated affinities of SUMO3-SIM2 and SUMO3-SIM3 complexes agreed well with experimental data.
- Both SIM2 and SIM3 were observed to bind SUMO3 in parallel and antiparallel orientations.
- Key interaction sites involving acidic residues flanking the SIMs were identified, and unusual interfaces in a previously reported NMR structure were noted.
Conclusions:
- The computational method accurately characterizes individual SIM-SUMO complexes.
- The study provides insights into the binding modes and affinities of SUMO3 with SIM2 and SIM3 peptides.
- Further research is needed to understand these interactions in multivalent contexts.


