Frank P DiMaio

Summary

Affiliation: University of Washington
Country: USA

Publications

  1. ncbi Spherical-harmonic decomposition for molecular recognition in electron-density maps
    Frank 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
  2. ncbi Refinement of protein structures into low-resolution density maps using rosetta
    Frank DiMaio
    Department of Biochemistry, University of Washington, Seattle, 98195, USA
    J Mol Biol 392:181-90. 2009
  3. ncbi Modeling symmetric macromolecular structures in Rosetta3
    Frank DiMaio
    Department of Biochemistry, University of Washington, Seattle, Washington, United States of America
    PLoS ONE 6:e20450. 2011
  4. ncbi Creating protein models from electron-density maps using particle-filtering methods
    Frank DiMaio
    Department of Computer Sciences, University of Wisconsin, Madison, WI 53706, USA
    Bioinformatics 23:2851-8. 2007
  5. ncbi Structure prediction for CASP8 with all-atom refinement using Rosetta
    Srivatsan Raman
    Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA
    Proteins 77:89-99. 2009

Collaborators

Detail Information

Publications5

  1. ncbi Spherical-harmonic decomposition for molecular recognition in electron-density maps
    Frank 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...
  2. ncbi Refinement of protein structures into low-resolution density maps using rosetta
    Frank 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...
  3. ncbi Modeling symmetric macromolecular structures in Rosetta3
    Frank 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...
  4. ncbi Creating protein models from electron-density maps using particle-filtering methods
    Frank 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...
  5. ncbi Structure prediction for CASP8 with all-atom refinement using Rosetta
    Srivatsan 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...