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A Protein Structure Prediction Service in the ProGenGrid System
Maria Mirto, Alessandra Ferramosca, Daniele Tartarini, Simone Romano, Alessandro Negro, Gianluca Tasco, Sandro Fiore, Vincenzo Zara, Rita Casadio, Giovanni Aloisio
135 - 146
Studies in Health Technology and Informatics
Volume 138: Global Healthgrid: e-Science Meets Biomedical Informatics
Abstract

This paper describes a protein tertiary structure prediction service implemented in a Grid Environment. The service has been used for predicting the dicarboxylate carrier (DIC) of Saccharomyces cerevisiae by using the homology modelling approach. The visualization of the predicted model is made possible by using an interactive virtual reality environment based on X3D and Ajax3d technologies.

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