A coarse‐grained model for disordered and multi‐domain proteins
Many proteins contain more than one folded domain, and such modular multi-domain proteins help expand the functional repertoire of proteins. Because of their larger size and often substantial dynamics, it may be difficult to characterize the conformational ensembles of multi-domain proteins by simulations. Here, we present a coarse-grained model for multi-domain proteins that is both fast and provides an accurate description of the global conformational properties in solution. We show that the accuracy of a one-bead-per-residue coarse-grained model depends on how the interaction sites in the folded domains are represented. Specifically, we find excessive domain-domain interactions if the interaction sites are located at the position of the C<sub>α</sub> atoms. We also show that if the interaction sites are located at the center of mass of the residue, we obtain good agreement between simulations and experiments across a wide range of proteins. We then optimize our previously described CALVADOS model using this center-of-mass representation, and validate the resulting model using independent data. Finally, we use our revised model to simulate phase separation of both disordered and multi-domain proteins, and to examine how the stability of folded domains may differ between the dilute and dense phases. Our results provide a starting point for understanding interactions between folded and disordered regions in proteins, and how these regions affect the propensity of proteins to self-associate and undergo phase separation.
Authors
- Sören von Bülow (ORCID: https://orcid.org/0000-0001-7125-5973)
- Kresten Lindorff‐Larsen (ORCID: https://orcid.org/0000-0002-4750-6039)
- Giulio Tesei (ORCID: https://orcid.org/0000-0003-4339-4460)
- Fan Cao
Institutions
- University of Copenhagen (DK)
Publication Details
- Journal
- Protein Science
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1002/pro.5172
- Citations
- 93
- Primary Topic
- RNA Research and Splicing
- Type
- article
- Field-Weighted Citation Impact
- 21.75
Funders
- European Molecular Biology Organization
- Novo Nordisk
- China Scholarship Council
- Novo Nordisk Fonden