1. Fragment-Based Ab Initio Phasing of Peptidic Nanocrystals by MicroED
- Author
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National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Generalitat de Catalunya, National Institute of General Medical Sciences (US), National Institutes of Health (US), Department of Energy (US), Richards, Logan S., Flores, Maria D., Millán, Claudia, Glynn, Calina, Zee, Chih-Te, Sawaya, Michael R., Gallagher-Jones, Marcus, Borges, Rafael J., Usón, Isabel, Rodriguez, José A., National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Generalitat de Catalunya, National Institute of General Medical Sciences (US), National Institutes of Health (US), Department of Energy (US), Richards, Logan S., Flores, Maria D., Millán, Claudia, Glynn, Calina, Zee, Chih-Te, Sawaya, Michael R., Gallagher-Jones, Marcus, Borges, Rafael J., Usón, Isabel, and Rodriguez, José A.
- Abstract
Electron diffraction (MicroED/3DED) can render the three-dimensional atomic structures of molecules from previously unamenable samples. The approach has been particularly transformative for peptidic structures, where MicroED has revealed novel structures of naturally occurring peptides, synthetic protein fragments, and peptide-based natural products. Despite its transformative potential, MicroED is beholden to the crystallographic phase problem, which challenges its de novo determination of structures. ARCIMBOLDO, an automated, fragment-based approach to structure determination, eliminates the need for atomic resolution, instead enforcing stereochemical constraints through libraries of small model fragments, and discerning congruent motifs in solution space to ensure validation. This approach expands the reach of MicroED to presently inaccessible peptide structures including fragments of human amyloids, and yeast and mammalian prions. For electron diffraction, fragment-based phasing portends a more general phasing solution with limited model bias for a wider set of chemical structures.
- Published
- 2023