Frank DiMaio

Affiliations: 
Biochemistry University of Washington, Seattle, Seattle, WA 
Area:
Biochemistry
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"Frank DiMaio"
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Muenks A, Zepeda S, Zhou G, et al. (2023) Automatic and accurate ligand structure determination guided by cryo-electron microscopy maps. Nature Communications. 14: 1164
Lugmayr W, Kotov V, Goessweiner-Mohr N, et al. (2022) StarMap: a user-friendly workflow for Rosetta-driven molecular structure refinement. Nature Protocols
Cummins MC, Jacobs TM, Teets FD, et al. (2022) AlphaFold accurately predicts distinct conformations based on the oligomeric state of a de novo designed protein. Protein Science : a Publication of the Protein Society. 31: e4368
Pavlovicz RE, Park H, DiMaio F. (2020) Efficient consideration of coordinated water molecules improves computational protein-protein and protein-ligand docking discrimination. Plos Computational Biology. 16: e1008103
Farrell DP, Anishchenko I, Shakeel S, et al. (2020) Deep learning enables the atomic structure determination of the Fanconi Anemia core complex from cryoEM. Iucrj. 7: 881-892
Xu C, Lu P, Gamal El-Din TM, et al. (2020) Computational design of transmembrane pores. Nature
Basanta B, Bick MJ, Bera AK, et al. (2020) An enumerative algorithm for de novo design of proteins with diverse pocket structures. Proceedings of the National Academy of Sciences of the United States of America
Bhargava HK, Tabata K, Byck JM, et al. (2020) Structural basis for autophagy inhibition by the human Rubicon-Rab7 complex. Proceedings of the National Academy of Sciences of the United States of America
Al-Otaibi NS, Taylor AJ, Farrell DP, et al. (2020) The cryo-EM structure of the bacterial flagellum cap complex suggests a molecular mechanism for filament elongation. Nature Communications. 11: 3210
Leman JK, Weitzner BD, Lewis SM, et al. (2020) Macromolecular modeling and design in Rosetta: recent methods and frameworks. Nature Methods
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