image: The figure represents the conformational ensemble of a RNA hairpin obtained using a combination of nuclear magnetic resonance (NMR) and molecular dynamics simulations. Although the dominant structure is the top-left one, all of them are required to explain the NMR data and some of them might be relevant for the biological function of this RNA molecule. view more
Credit: Sabine Reisser
Experimental data and computer simulations come together to provide an innovative technique able to characterise the different configurations of an RNA molecule. The work, published in Nucleic Acids Research, opens new roads to study dynamic molecular systems.
The key of the extraordinary functionality of ribonucleic acid, better known as RNA, is a highly flexible and dynamic structure. Yet, the experimental characterisation of its different configurations is rather complex. A study conducted by SISSA and published on Nucleic Acids Research combines experimental data and molecular dynamics simulations to reconstruct the different dominant and minority structures of a single RNA fragment, providing an innovative method to study highly dynamic molecular systems.
"RNA plays a central role in the process of protein synthesis and in its regulation. This is also thanks to a structure that is not static but varies dynamically from one state to another," explains Giovanni Bussi, physicist at SISSA - Scuola Internazionale Superiore di Studi Avanzati and principal investigator of this work. "It is a 'set' of configurations, with a dominant structure maintained by the molecule for the majority of the time and some 'low population' structures that are rarer but equally important for its function and possible interaction with other molecules."
Experimental techniques, such as nuclear magnetic resonance (NMR), theoretically allow to probe these sets of configurations. However, to obtain the structure of the molecule, the assumption is often made that a single relevant conformation exists. Unless particularly sophisticated experimental approaches are used, they provide the 'average' structure, in short a mathematical average of the multiple states present, which, in dynamic systems, does not exist in reality.
Giovanni Bussi and Sabine Reißer, in collaboration with the group of the neurobiologist Stefano Gustincich at the Italian Institute of Technology (IIT), have developed a new way to identify the different configurations of an RNA molecule. "We studied a fragment of RNA with a characteristic hairpin structure that was identified in Gustincich's group and has an important role in regulating protein synthesis. By combining the NMR data with molecular dynamics simulations, we have mimicked different states of the molecule, including those of low population, and identified those that were able to reproduce the 'average' structure determined empirically."
The scientists then searched the Protein Data Bank, a database of molecular structures acquired experimentally: "We found some of the low population configurations identified by the simulations within other RNA molecules, including the ribosomes, the molecular machines responsible for protein synthesis ribosomal RNAs. Thus, we confirmed the existence of these multiple structures in nature and suggested a potential role at the ribosomal level," concludes Bussi. "We have demonstrated the validity of this innovative approach, which opens new roads for the study of molecular structures in highly dynamic systems in which states with different populations co-exist."
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Journal
Nucleic Acids Research