Jeeva: Enterprise Grid-enabled Web Portal for Protein Secondary Structure Prediction
Chao Jin, Jayavardhana Gubbi, Rajkumar Buyya, and Marimuthu, Palaniswami
TL;DR
This paper introduces Jeeva, a Grid-enabled web portal utilizing Aneka for parallel protein secondary structure prediction, demonstrating its effectiveness with an SVM-based algorithm on sample data.
Contribution
The paper presents a novel Grid portal for protein structure prediction that leverages enterprise Grid technology and parallel processing capabilities.
Findings
Successful deployment of the portal using Aneka
Effective parallel prediction with SVM algorithm
Potential for scalable protein structure analysis
Abstract
This paper presents a Grid portal for protein secondary structure prediction developed by using services of Aneka, a .NET-based enterprise Grid technology. The portal is used by research scientists to discover new prediction structures in a parallel manner. An SVM (Support Vector Machine)-based prediction algorithm is used with 64 sample protein sequences as a case study to demonstrate the potential of enterprise Grids.
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