SOP-MULTI: A Self-Organized Polymer-Based Coarse-Grained Model for Multidomain and Intrinsically Disordered Proteins
Krishnakanth Baratam1, Anand Srivastava1
1Molecular Biophysics Unit, Indian Institute of Science, Bangalore, Karnataka 560012, India.
Journal of Chemical Theory and Computation
|November 5, 2024
Summary
We developed SOP-MULTI, a new computational force field to simulate complex multidomain proteins. This tool accurately models protein ensembles, aiding structural biology research for intrinsically disordered proteins (IDPs) and folded domains.
Area of Science:
- Structural biology
- Computational biophysics
- Protein dynamics
Background:
- Multidomain proteins and intrinsically disordered proteins (IDPs) exist as dynamic ensembles, challenging traditional structural determination.
- Accurate simulation of these proteins requires advanced computational methods capable of handling both folded and disordered regions.
Purpose of the Study:
- To introduce SOP-MULTI, a novel coarse-grained force field for simulating multidomain proteins.
- To enable accurate conformational sampling of proteins containing both folded and intrinsically disordered regions.
Main Methods:
- Development of the SOP-MULTI force field, integrating SOP-SC and SOP-IDP models.
- Introduction of cross-interaction terms for modeling folded and disordered regions within the same polypeptide.
- Simulation of various full-length multidomain proteins including hnRNP A1, TDP-43, and FUS.
Main Results:
- SOP-MULTI successfully generates accurate conformational ensembles for multidomain proteins.
- Back-mapped trajectories from SOP-MULTI faithfully reproduce experimental scattering data.
- Folded domains within simulated proteins maintain native contacts and exhibit dynamics consistent with all-atom simulations.
Conclusions:
- SOP-MULTI provides a powerful tool for studying the structural ensembles of complex multidomain proteins.
- The force field accurately models proteins with both folded and intrinsically disordered regions.
- SOP-MULTI is available as a LAMMPS-compatible package for broader research application.
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