Hybrid of Electron Cryo-Microscopy and Bioinformatics to Reveal Protein Folds in Domains of Biological Machines Wah Chiu, Alvin Romansky Professor of Biochemistry and Director of Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, Texas Few large biological machines have been solved to atomic resolution, resulting in under-representation in the library of known structures and folds. Thus, it is likely these large complexes might contain many yet unidentified folds, providing an enriched source of novel folds. However, it is often difficult to achieve a high-resolution model for these structures. Electron cryo-microscopy is capable of determining structures of large assemblies at low to intermediate resolutions. To aid in the interpretation and analysis of such structures, we have developed a computational method to identify potential homologous folds based on the arrangement of alpha helix elements, resulting in a structure-based recognition of folds containing alpha helices. In addition, we can use sequence-based threading to predict fold in a small domain of a large complex and then fit the putative fold within a region of the target structure. The structural fitting therefore provides a quantitative means to further examine the architecture and organization of large, complex machine. Applications of these methods to study large animal virus such as herpesvirus capsid and skeletal muscle calcium release channel will be demonstrated.