Carnegie Mellon University was awarded a $448,000 project grant from the National Science Foundation Division of Information and Intelligent Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support the development of computational methods and software to enable the systematic de novo identification of macromolecular complexes in cryo-electron tomography images. Specifically, the university will create a computational pipeline integrating novel fast search-based subtomogram alignment, shape searching against structural databases, and other techniques to automatically identify unknown biomolecular structures at large scale from cryo-electron tomography data. The open-source software and algorithms developed through this research will benefit the structural and cell biology community for macromolecule shape determination and identification. Broader impacts include training students and disseminating knowledge through workshops.
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