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@ARTICLE{Sandal:201305,
author = {Sandal, Massimo and Duy, Tran Phuoc and Cona, Matteo and
Zung, Hoang and Carloni, Paolo and Musiani, Francesco and
Giorgetti, Alejandro},
title = {{GOM}o{D}o: {A} {GPCR}s {O}nline {M}odeling and {D}ocking
{W}ebserver},
journal = {PLoS one},
volume = {8},
number = {9},
issn = {1932-6203},
address = {Lawrence, Kan.},
publisher = {PLoS},
reportid = {FZJ-2015-03610},
pages = {e74092 -},
year = {2013},
abstract = {G-protein coupled receptors (GPCRs) are a superfamily of
cell signaling membrane proteins that include >750 members
in the human genome alone. They are the largest family of
drug targets. The vast diversity and relevance of GPCRs
contrasts with the paucity of structures available: only 21
unique GPCR structures have been experimentally determined
as of the beginning of 2013. User-friendly modeling and
small molecule docking tools are thus in great demand. While
both GPCR structural predictions and docking servers exist
separately, with GOMoDo (GPCR Online Modeling and Docking),
we provide a web server to seamlessly model GPCR structures
and dock ligands to the models in a single consistent
pipeline. GOMoDo can automatically perform template choice,
homology modeling and either blind or information-driven
docking by combining together proven, state of the art
bioinformatic tools. The web server gives the user the
possibility of guiding the whole procedure. The GOMoDo
server is freely accessible at
http://molsim.sci.univr.it/gomodo.},
cin = {GRS / IAS-5},
ddc = {500},
cid = {I:(DE-Juel1)GRS-20100316 / I:(DE-Juel1)IAS-5-20120330},
pnm = {899 - ohne Topic (POF2-899)},
pid = {G:(DE-HGF)POF2-899},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000324856500075},
pubmed = {pmid:24058518},
doi = {10.1371/journal.pone.0074092},
url = {https://juser.fz-juelich.de/record/201305},
}