Publication details
Synergy between NMR measurements and MD simulations of protein/RNA complexes: application to the RRMs, the most common RNA recognition motifs
| Authors | |
|---|---|
| Year of publication | 2016 |
| Type | Article in Periodical |
| Magazine / Source | Nucleic Acids Research |
| MU Faculty or unit | |
| Citation | |
| Web | http://nar.oxfordjournals.org/content/44/13/6452.full.pdf+html |
| Doi | http://dx.doi.org/10.1093/nar/gkw438 |
| Field | Biochemistry |
| Keywords | MOLECULAR-DYNAMICS SIMULATIONS; PARTICLE MESH EWALD; PRE-RIBOSOMAL-RNA; FORCE-FIELD; CAENORHABDITIS-ELEGANS; BACKBONE PARAMETERS; SPLICING FACTORS; STRUCTURAL BASIS; NUCLEIC-ACIDS; SR PROTEINS |
| Description | RNA recognition motif (RRM) proteins represent an abundant class of proteins playing key roles in RNA biology. We present a joint atomistic molecular dynamics (MD) and experimental study of two RRM-containing proteins bound with their single-stranded target RNAs, namely the Fox-1 and SRSF1 complexes. The simulations are used in conjunction with NMR spectroscopy to interpret and expand the available structural data. We accumulate more than 50 mu s of simulations and show that the MD method is robust enough to reliably describe the structural dynamics of the RRM-RNA complexes. The simulations predict unanticipated specific participation of Arg142 at the protein-RNA interface of the SRFS1 complex, which is subsequently confirmed by NMR and ITC measurements. Several segments of the protein-RNA interface may involve competition between dynamical local substates rather than firmly formed interactions, which is indirectly consistent with the primary NMR data. We demonstrate that the simulations can be used to interpret the NMR atomistic models and can provide qualified predictions. Finally, we propose a protocol for 'MD-adapted structure ensemble' as a way to integrate the simulation predictions and expand upon the deposited NMR structures. Unbiased mu s-scale atomistic MD could become a technique routinely complementing the NMR measurements of protein-RNA complexes. |
| Related projects: |