A protein structure prediction service in the ProGenGrid system
| Autor: | Mirto, Maria, Ferramosca, Alessandra, Tartarini, Daniele, Romano, Simone, Negro, Alessandro, Tasco, Gianluca, Sandro Fiore, Zara, Vincenzo, Casadio, Rita, Aloisio, Giovanni |
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| Přispěvatelé: | TONY SOLOMONIDES, JONATHAN C. SILVERSTEIN, JOEL SALTZ, YANNICK LEGRÉ, MARY KRATZ, IAN FOSTER, VINCENT BRETON, J. ROBERT BECK, Mirto M., Ferramosca A., Tartarini D., Romano S., Negro A., Tasco G., Fiore S., Zara V., Casadio R., Aloisio G., Mirto, M, Ferramosca, Alessandra, Tartarini, D, Romano, S, Negro, A, Tasco, G, Fiore, S, Zara, Vincenzo, Casadio, R, Aloisio, Giovanni |
| Předmět: |
Dicarboxylic Acid Transporters
GRID COMPUTING computational grid Tertiary structure prediction TERTIARY STRUCTURE PREDICTION Computational Biology Saccharomyces cerevisiae Grid portal Protein Structure Tertiary ComputingMethodologies_PATTERNRECOGNITION Databases as Topic Italy Computer Systems Humans Computer Simulation Program Development BIOINFORMATICS PLATFORM Databases Protein Software |
| Zdroj: | Scopus-Elsevier Europe PubMed Central ResearcherID Publons Alessandra Ferramosca |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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