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Synergy between NMR measurements and MD simulations of protein/RNA complexes: application to the RRMs, the most common RNA recognition motifs
M. Krepl, A. Cléry, M. Blatter, FH. Allain, J. Sponer,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2005
Free Medical Journals
od 1996
PubMed Central
od 1974
Europe PubMed Central
od 1974
Open Access Digital Library
od 1996-01-01 do 2030-12-31
Open Access Digital Library
od 1974-01-01
Open Access Digital Library
od 1996-01-01
Open Access Digital Library
od 1996-01-01
Medline Complete (EBSCOhost)
od 1996-01-01
Oxford Journals Open Access Collection
od 1996-01-01
ROAD: Directory of Open Access Scholarly Resources
od 1974
PubMed
27193998
DOI
10.1093/nar/gkw438
Knihovny.cz E-zdroje
- MeSH
- konformace proteinů MeSH
- lidé MeSH
- magnetická rezonanční spektroskopie MeSH
- molekulární modely MeSH
- motiv rozpoznávající RNA genetika MeSH
- multiproteinové komplexy chemie genetika MeSH
- RNA chemie genetika MeSH
- sekvence aminokyselin genetika MeSH
- serin-arginin sestřihové faktory chemie genetika MeSH
- sestřihové faktory chemie genetika MeSH
- simulace molekulární dynamiky MeSH
- vazebná místa MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
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 μs 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 μs-scale atomistic MD could become a technique routinely complementing the NMR measurements of protein-RNA complexes.
Citace poskytuje Crossref.org
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