Frank P DiMaioSummaryAffiliation: University of Washington Country: USA Publications
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Publications
Spherical-harmonic decomposition for molecular recognition in electron-density mapsFrank P DiMaio
Department of Computer Sciences, University of Wisconsin, 1210 W Dayton St, Madison, WI, USA
Int J Data Min Bioinform 3:205-27. 2009..We show our new template-matching method improves accuracy and reduces running time, compared to previous approaches. Finally, we extend our method to produce a structural-homology detection algorithm using electron density...
Refinement of protein structures into low-resolution density maps using rosettaFrank DiMaio
Department of Biochemistry, University of Washington, Seattle, 98195, USA
J Mol Biol 392:181-90. 2009..The method can achieve near-atomic resolution starting from density maps at 4-6 A resolution...
Modeling symmetric macromolecular structures in Rosetta3Frank DiMaio
Department of Biochemistry, University of Washington, Seattle, Washington, United States of America
PLoS ONE 6:e20450. 2011..Finally, we describe structure prediction and design applications that utilize the Rosetta3 symmetric modeling capabilities, and provide a guide to running simulations on symmetric systems...
Creating protein models from electron-density maps using particle-filtering methodsFrank DiMaio
Department of Computer Sciences, University of Wisconsin, Madison, WI 53706, USA
Bioinformatics 23:2851-8. 2007..Here, we use a sampling method known as particle filtering to produce a set of all-atom protein models. We use the output of ACMI to guide the particle filter's sampling, producing an accurate, physically feasible set of structures...
Structure prediction for CASP8 with all-atom refinement using RosettaSrivatsan Raman
Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA
Proteins 77:89-99. 2009..These improvements over the starting template-based models and refinement tests demonstrate the power of Rosetta structure refinement in improving model accuracy...
