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000875340 1001_ $$0P:(DE-HGF)0$$aBaldessari, Filippo$$b0
000875340 245__ $$aCoevolutionary Data-based Interaction Networks Approach Highlighting Key Residues across Protein Families: the Case of the G-protein Coupled Receptors
000875340 260__ $$aGotenburg$$bResearch Network of Computational and Structural Biotechnology (RNCSB)$$c2020
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000875340 520__ $$aWe 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.
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000875340 7001_ $$0P:(DE-Juel1)145614$$aCarloni, Paolo$$b2$$ufzj
000875340 7001_ $$0P:(DE-Juel1)165199$$aGiorgetti, Alejandro$$b3$$ufzj
000875340 773__ $$0PERI:(DE-600)2694435-2$$a10.1016/j.csbj.2020.05.003$$gp. S200103702030266X$$p1153-1159$$tComputational and structural biotechnology journal$$v18$$x2001-0370$$y2020
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