TY  - JOUR
AU  - Baldessari, Filippo
AU  - Capelli, Riccardo
AU  - Carloni, Paolo
AU  - Giorgetti, Alejandro
TI  - Coevolutionary Data-based Interaction Networks Approach Highlighting Key Residues across Protein Families: the Case of the G-protein Coupled Receptors
JO  - Computational and structural biotechnology journal
VL  - 18
SN  - 2001-0370
CY  - Gotenburg
PB  - Research Network of Computational and Structural Biotechnology (RNCSB)
M1  - FZJ-2020-01963
SP  - 1153-1159
PY  - 2020
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - pmid:32489528
UR  - <Go to ISI:>//WOS:000607729400014
DO  - DOI:10.1016/j.csbj.2020.05.003
UR  - https://juser.fz-juelich.de/record/875340
ER  -