Multi-scale Ensemble Modeling of Modular Proteins with Intrinsically Disordered Linker Regions: Application to p53
Open accessAbstract
In eukaryotic proteins, intrinsically disordered regions (IDRs) are ubiquitous and often exist in linker regions that flank the functional domains of modular proteins, regulating their functions. For detailed structural ensemble modeling of IDRs, we propose a multiscale method for IDRs that possess significant long-range order in modular proteins and apply it to the eukaryotic transcription factor p53 as an example. First, we performed all-atom (AA) molecular dynamics (MD) simulations of the explicitly solvated p53 linker region, without experimental restraint terms, finding fractional long-range contacts within the linker. Second, we fed this AA MD ensemble into a coarse-grained (CG) model, finding an optimal set of contact potentials. The optimized CG MD simulations reproduced the contact probability map from the AA MD simulations. Finally, we performed the CG MD simulation of the tetrameric p53 fragments including the core domains, the linker, and the tetramerization domain. Using the obtained ensemble, we theoretically calculated the small angle x-ray scattering (SAXS) profile of this fragment. The obtained SAXS profile agrees well with the experiment. We also found that the long-range contacts in the p53 linker region are required to reproduce the experimental SAXS profile. The developed framework in which we calculate the long-range contact probability map from the AA MD simulation and incorporate it to the CG model can be applied to broad range of IDRs.
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The calculated SAXS profile for the p53 tetramer agrees well with experiment.
“The calculated SAXS profile agrees well with the experiment.”
From Protein Ensembles: How Does Nature Harness Thermodynamic Fluctuations for Life? The Diverse Functional Roles of Conformational Ensembles in the Cell (2016) · cites this paper as [227]
Multi-scale ensemble modeling of p53 with intrinsically disordered linkers illustrates how linkers encode states.
“This mechanism can be also illustrated by multi-scale ensemble modeling of p53 proteins with intrinsically disordered linker regions.227”
From Protein Ensembles: How Does Nature Harness Thermodynamic Fluctuations for Life? The Diverse Functional Roles of Conformational Ensembles in the Cell (2016) · cites this paper as [227]
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- Authors
- Terakawa, T., Higo, J., & Takada, S.
- Affiliations
- Kyoto University (JP)
- Institute for Protein Research, The University of Osaka (JP)
- Corresponding author
- Takada, Shoji
- Venue
- Biophysical Journal
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 107
- Issue
- 3
- Pages
- 721-729
- ISSN
- 0006-3495 (ISSN-L)
- PMC
- PMC4129485
- OpenAlex
- W2012363170
- Cited by
- 32
- References
- 56
- Citations by year
- 2026: 3 · 2025: 2 · 2021: 2 · 2020: 3 · 2019: 2 · 2018: 4 · 2017: 6 · 2016: 7 · 2015: 1 · 2014: 2
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Biophysical Journal (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Japan Society for the Promotion of Science
- Ministry of Education, Culture, Sports, Science and Technology
- New Energy and Industrial Technology Development Organization
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Advanced Physical and Chemical Molecular Interactions
- Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
- Keywords
- intrinsically disordered regions, p53, linker region, modular proteins, long-range contacts, coarse-grained models, all-atom molecular dynamics, small-angle X-ray scattering, tetramerization domain, protein conformational ensembles
- MeSH terms
- Amino Acid Sequence, Molecular Sequence Data, Tumor Suppressor Protein p53, Protein Structure, Tertiary, Protein Multimerization, Molecular Dynamics Simulation, Intrinsically Disordered Proteins
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