Title
Grid computing methodology for protein structure prediction and analysis
Abstract
In the post-genomics era, the protein structure prediction and analysis based on the amino acids sequence is becoming an essential part of biological research. The protein structure prediction belongs to CPU-intensive and memory demanding jobs. We have developed a prediction and analysis system named ProteinSPA, which employs the workflow under the grid environment to integrates multiple bioinformatics analytical tools and perform on huge volumes of data. In this paper, we explain the design, architecture, and implementation of ProteinSPA.
Year
DOI
Venue
2005
10.1007/11576259_29
ISPA Workshops
Keywords
Field
DocType
analysis system,protein structure prediction,post-genomics era,multiple bioinformatics,biological research,grid computing methodology,amino acids sequence,grid environment,essential part,huge volume,analytical tool,grid computing,amino acid sequence
Protein structure prediction,Structural alignment,Grid computing,Computer science,Parallel algorithm,Collaborative software,Workflow,Grid,Protein structure,Distributed computing
Conference
Volume
ISSN
ISBN
3759
0302-9743
3-540-29770-7
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Shou-Bin Dong113921.17
Pengfei Liu200.34
Yicheng Cao341.51
Zhengping Du411.36