Name
Abstract | ||
|---|---|---|
This paper is concerned with the development of a com- putational methodology based on fractal geometry for de- termining 3D structure of protein with imagery projection operations. In this investigation, the density-map image is a 2D projection of the 3D electron density map according to its depth of the density distribution along the projection direction. We extract fractal features of the density-map im- age in a region and use these features to look for candidate regions with similar patterns of density-map. We analyze its fractal signatures for determining 3D pattern of regions of density distribution. This contribution presents preliminary results of such a study, wherein the protein surface was as- sumed to be a fractal, and computed fractal feature (fractal dimension and fractal signature) were analyzed and found to possess fairly reasonable pattern for improving the dis- crimination abilities of the protein structure. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICPR.2002.1048343 | ICPR |
Keywords | Field | DocType |
IMAGES | Fractal analysis,Computer vision,Fractal dimension on networks,Fractal landscape,Pattern recognition,Fractal dimension,Computational geometry,Fractal,Feature extraction,Artificial intelligence,Fractal transform,Mathematics | Conference |
Volume | Issue | ISSN |
16 | 2 | null |
Citations | PageRank | References |
1 | 0.36 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Tao | 1 | 1 | 0.36 |
| Thomas R. Ioerger | 2 | 623 | 59.10 |
| James C. Sacchettini | 3 | 31 | 7.83 |