Data · dataset · 2016
Exploring the molecular basis of RNA recognition by the dimeric RNA-binding protein via molecular simulation methods
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RNA-binding protein with multiple splicing (RBPMS) is critical for axon guidance, smooth muscle plasticity, and regulation of cancer cell proliferation and migration.
Description
Recently, different states of the RNA-recognition motif (RRM) of RBPMS, one in its free form and another in complex with CAC-containing RNA, were determined by X-ray crystallography. In this article, the free RRM domain, its wild type complex and 2 mutant complex systems are studied by molecular dynamics (MD) simulations.
Through comparison of free RRM domain and complex systems, it's found that the RNA binding facilitates stabilizing the RNA-binding interface of RRM domain, especially the C-terminal loop. Although both R38Q and T103A/K104A mutations reduce the binding affinity of RRM domain and RNA, the underlining mechanisms are different. Principal component analysis (PCA) and Molecular mechanics Poisson-Boltzmann surface area (MM/PBSA) methods were used to explore the dynamical and recognition mechanisms of RRM domain and RNA.
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R38Q mutation is positioned on the homodimerization interface and mainly induces the large fluctuations of RRM domains. This mutation does not directly act on the RNA-binding interface, but some interfacial hydrogen bonds are weakened. In contrast, T103A/K104A mutations are located on the RNA-binding interface of RRM domain.
These mutations obviously break most of high occupancy hydrogen bonds in the RNA-binding interface. Meanwhile, the key interfacial residues lose their favorable energy contributions upon RNA binding. The ranking of calculated binding energies in 3 complex systems is well consistent with that of experimental binding affinities.
These results will be helpful in understanding the RNA recognition mechanisms of RRM domain.
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Where it is published
- Repository landing page tandf.figshare.com/articles/dataset/Exploring_the_molecular_basis_of_RNA_recognit… ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.3806235.v1 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Attribution 4.0 International creativecommons.org/licenses/by/4.0/legalcode ↗
license · from DataCite
- IsSupplementTo 10.1080/15476286.2016.1223007 doi.org/10.1080/15476286.2016.1223007 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.3806235.v1 ↗
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- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.3806235.v1 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Biological sciences · Physical sciences
- From keywords
- Biochemistry and cell biology · Bioinformatics and computational biology · Cancer · Genetics · Medicine & Health
- Inferred from text
- Simulation 75%
Related
Provenance · 1 source records, 13 field assertions
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|---|---|---|---|
| DataCite | 10.6084/m9.figshare.3806235.v1 | 12 d ago | JSON v1 |
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