Giovanni Bussi, Massimiliano Bonomi, Paraskevi Gkeka, Michael Sattler, Hashim M. Al-Hashimi, Pascal Auffinger, Maria Duca, Yann Foricher, Danny Incarnato, Alisha N. Jones, Serdal Kirmizialtin, Miroslav Krepl, Modesto Orozco, Giulia Palermo, Samuela Pasquali, Loïc Salmon, Harald Schwalbe, Eric Westhof, Martin Zacharias
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RNA dynamics from experimental and computational approaches
Conformational dynamics is crucial for the biological function of RNA molecules and for their potential as therapeutic targets. This meeting report outlines key “take-home” messages that emerged from the presentations and discussions during the CECAM workshop “RNA dynamics from experimental and computational approaches” in Paris, June 26–28, 2023.
期刊介绍:
Structure aims to publish papers of exceptional interest in the field of structural biology. The journal strives to be essential reading for structural biologists, as well as biologists and biochemists that are interested in macromolecular structure and function. Structure strongly encourages the submission of manuscripts that present structural and molecular insights into biological function and mechanism. Other reports that address fundamental questions in structural biology, such as structure-based examinations of protein evolution, folding, and/or design, will also be considered. We will consider the application of any method, experimental or computational, at high or low resolution, to conduct structural investigations, as long as the method is appropriate for the biological, functional, and mechanistic question(s) being addressed. Likewise, reports describing single-molecule analysis of biological mechanisms are welcome.
In general, the editors encourage submission of experimental structural studies that are enriched by an analysis of structure-activity relationships and will not consider studies that solely report structural information unless the structure or analysis is of exceptional and broad interest. Studies reporting only homology models, de novo models, or molecular dynamics simulations are also discouraged unless the models are informed by or validated by novel experimental data; rationalization of a large body of existing experimental evidence and making testable predictions based on a model or simulation is often not considered sufficient.