1 / 11

Local squaring functions of non-spherical templates

Local squaring functions of non-spherical templates. Jeffrey ROACH Charles W. CARTER Jr. Local squaring functions. Measure likelihood that a given oriented fragment occupies position Models fragment translation and orientation For fixed orientation, quick to compute (FFT).

nay
Télécharger la présentation

Local squaring functions of non-spherical templates

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Local squaring functions of non-spherical templates Jeffrey ROACH Charles W. CARTER Jr.

  2. Local squaring functions • Measure likelihood that a given oriented fragment occupies position • Models fragment translation and orientation • For fixed orientation, quick to compute (FFT)

  3. Method A- density modification • Build a probabilistic envelope from LSFs of different fragments • Modification/improvement of noisy electron-density • Works well for single atom fragments at high resolution

  4. Method B- iterated model building • Construct atomic model from well placed fragments • Use this atomic model to generate new phases (Fourier recycling) • Works well with single atom fragments at atomic resolution - 10o phase improvements/cycle

  5. Iterated real/reciprocal space (A+B) filtering is powerful for phasing • Shake ‘N Bake, Resolve, DM, ShelxD • Highly distributed • LSF: orientated fragment calculated independently • Interpreting LSFs: each point in unit cell can be considered individually • IBM Blade Server (hopefully)

  6. Multi-atom fragment libraries extend LSF to lower resolution Tetrahedral Ca Planar groups involving C=O

  7. Extended fragments to aid assembly Sequential templates Kolodney, Koehl, Guibas, & Levitt Tertiary templates Cammer & Tropsha

  8. Interpolating orientation • SU2 parameterization • Internal symmetry needs homogenous spaces • Local coordinates • Polynomial interpolation

  9. Examples • Random phase errors: experimentally derived phases for rusticyanin • Systematic phase errors: model biased phases

  10. New project • Shantanu SHARMA (IIT Kanpur) new structural comparison- geared to our purposes • Correlation between sequence and structure spaces • PCA of DALI scores unable to separate four major classes in SCOP • GenCompress distance useless on coding regions • Kolmogorov complexity ultimate unattainable selection of informative properties

  11. Zagoruiko: “Non-informative properties wash away compactness” … 40 39 38 36 35 0 36 34 28 3 2 0 4 3 0 7 6 5 4 0 7 6 5 0 9 8 0 33 32 10 5 4 3 … • Sequence of integers encodes Delaunay tetrahedralization • Rank statistics metaphor • Dynamic programming: identify regularities in integer sequence

More Related