Mikhail Kudryashev, Clorice R Reinhardt, Alec H Follmer, Michael C Thompson
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Introducing Mikhail Kudryashev, Clorice R. Reinhardt, Alec H. Follmer, and Michael C. Thompson.
This voices article features four impressive group leaders who participated in the recent "9th Ringberg Workshop on Structural Biology with XFELs", organized by Ilme Schlichting from the Max Planck Institute for Medical Research in Heidelberg. We asked them to tell us more about their career paths, research interests, and what inspires their work.
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.