A protein structure prediction service in the ProGenGrid system.
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.
SPACI Consortium, University of Salento, Lecce & NNL/CNR-INFM, Lecce, Italy. maria.mirto@unile.it
Maria
M
Mirto
Alessandra
A
Ferramosca
Daniele
D
Tartarini
Simone
S
Romano
Alessandro
A
Negro
Gianluca
G
Tasco
Sandro
S
Fiore
Vincenzo
V
Zara
Rita
R
Casadio
Giovanni
G
Aloisio
D019295:Computational Biology; D003198:Computer Simulation; D003199:Computer Systems; D019992:Databases as Topic; D030562:Databases, Protein; D029382:Dicarboxylic Acid Transporters / Q000235:genetics; D006801:Humans; D007558:Italy; D016730:Program Development; D017434:Protein Structure, Tertiary / Q000235:genetics*; D012441:Saccharomyces cerevisiae / Q000235:genetics; D012984:Software
D029382:Dicarboxylic Acid Transporters