Grid Computing Methodology for Protein Structure Prediction and Analysis

摘要

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.