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@ARTICLE{Baldessari:875340,
author = {Baldessari, Filippo and Capelli, Riccardo and Carloni,
Paolo and Giorgetti, Alejandro},
title = {{C}oevolutionary {D}ata-based {I}nteraction {N}etworks
{A}pproach {H}ighlighting {K}ey {R}esidues across {P}rotein
{F}amilies: the {C}ase of the {G}-protein {C}oupled
{R}eceptors},
journal = {Computational and structural biotechnology journal},
volume = {18},
issn = {2001-0370},
address = {Gotenburg},
publisher = {Research Network of Computational and Structural
Biotechnology (RNCSB)},
reportid = {FZJ-2020-01963},
pages = {1153-1159},
year = {2020},
abstract = {We present an approach that, by integrating structural data
with Direct Coupling Analysis, is able to pinpoint most of
the interaction hotspots (i.e. key residues for the
biological activity) across very sparse protein families in
a single run. An application to the Class A G-protein
coupled receptors (GPCRs), both in their active and inactive
states, demonstrates the predictive power of our approach.
The latter can be easily extended to any other kind of
protein family, where it is expected to highlight most key
sites involved in their functional activity.},
cin = {IAS-5 / INM-9},
ddc = {570},
cid = {I:(DE-Juel1)IAS-5-20120330 / I:(DE-Juel1)INM-9-20140121},
pnm = {574 - Theory, modelling and simulation (POF3-574)},
pid = {G:(DE-HGF)POF3-574},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32489528},
UT = {WOS:000607729400014},
doi = {10.1016/j.csbj.2020.05.003},
url = {https://juser.fz-juelich.de/record/875340},
}