Theoretical studies on RNA recognition by Musashi 1 RNA-binding protein

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Nitchakan Darai
Panupong Mahalapbutr
Peter Wolschann
Vannajan Sanghiran Lee
Michael T. Wolfinger
Thanyada Rungrotmongkol
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[1] Chulalongkorn University,Program in Bioinformatics and Computational Biology, Graduate School
[2] Khon Kaen University,Department of Biochemistry, Faculty of Medicine
[3] University of Vienna,Department of Theoretical Chemistry
[4] University of Malaya,Department of Chemistry, Faculty of Science
[5] University of Vienna,Research Group Bioinformatics and Computational Biology, Faculty of Computer Science
[6] Chulalongkorn University,Center of Excellence in Biocatalyst and Sustainable Biotechnology, Faculty of Science
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摘要
The Musashi (MSI) family of RNA-binding proteins, comprising the two homologs Musashi-1 (MSI1) and Musashi-2 (MSI2), typically regulates translation and is involved in cell proliferation and tumorigenesis. MSI proteins contain two ribonucleoprotein-like RNA-binding domains, RBD1 and RBD2, that bind single-stranded RNA motifs with a central UAG trinucleotide with high affinity and specificity. The finding that MSI also promotes the replication of Zika virus, a neurotropic Flavivirus, has triggered further investigations of the biochemical principles behind MSI–RNA interactions. However, a detailed molecular understanding of the specificity of MSI RBD1/2 interaction with RNA is still missing. Here, we performed computational studies of MSI1–RNA association complexes, investigating different RNA pentamer motifs using molecular dynamics simulations with binding free energy calculations based on the solvated interaction energy method. Simulations with Alphafold2 suggest that predicted MSI protein structures are highly similar to experimentally determined structures. The binding free energies show that two out of four RNA pentamers exhibit a considerably higher binding affinity to MSI1 RBD1 and RBD2, respectively. The obtained structural information on MSI1 RBD1 and RBD2 will be useful for a detailed functional and mechanistic understanding of this type of RNA–protein interactions.
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