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.
Cite
@article{arxiv.0903.1388,
title = {Jeeva: Enterprise Grid-enabled Web Portal for Protein Secondary Structure Prediction},
author = {Chao Jin and Jayavardhana Gubbi and Rajkumar Buyya and Marimuthu Palaniswami},
journal= {arXiv preprint arXiv:0903.1388},
year = {2016}
}