Name
Abstract | ||
|---|---|---|
Function is a dynamic property closely related to the conformational mechanisms of the protein structure in its physiological environment. Efficient methods and tools for predicting collective motions at the molecular level are becoming increasingly important for understanding and controlling the function of target proteins. The molecular motions of proteins in different mode types are determined in the present study using the Gaussian network model (GNM). Based on GNM, we present a system that enables efficient query and visualization of protein dynamic behaviors such as mode shapes and 3D mobility structures. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/CMPSAC.2004.1342683 | COMPSAC Workshops |
Keywords | Field | DocType |
protein motion query system,protein functional motion,3d mobility structures,genetics,gaussian network model,mode shape,present study,proteins,molecular level,dynamic property,biology computing,different mode type,protein dynamic behavior,data visualisation,gaussian processes,protein functional motion query,data visualization,protein structure,efficient method,efficient query,molecular motion,query processing | Data visualization,Visualization,Computer science,Theoretical computer science,Gaussian process,Gaussian network model,Normal mode,Protein structure | Conference |
Volume | ISSN | ISBN |
2 | 0730-3157 | 0-7695-2209-2 |
Citations | PageRank | References |
2 | 0.40 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiong Liu | 1 | 107 | 9.35 |
| Hassan A. Karimi | 2 | 357 | 42.93 |
| Lee-Wei Yang | 3 | 96 | 12.89 |
| Ivet Bahar | 4 | 361 | 39.41 |