ArticleComputational and structural biotechnology journal2020
Coevolutionary data-based interaction networks approach highlighting key residues across protein families: The case of the G-protein coupled receptors.
Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Network analysis of correlated conformational dynamics across the evolution of influenza A virus NS1.bioRxiv : the preprint server for biology · 2026Article
- AlloViz: A tool for the calculation and visualisation of protein allosteric communication networks.Computational and structural biotechnology journal · 2024Article
- Machine Learning-Based Modeling of Olfactory Receptors in Their Inactive State: Human OR51E2 as a Case Study.Journal of chemical information and modeling · 2023Article
- Delineating the activation mechanism and conformational landscape of a class B G protein-coupled receptor glucagon receptor.Computational and structural biotechnology journal · 2022Article
- Delineating the conformational landscape and intrinsic properties of the angiotensin II type 2 receptor using a computational study.Computational and structural biotechnology journal · 2022Article
- Evolution of frustrated and stabilising contacts in reconstructed ancient proteins.European biophysics journal : EBJ · 2021Article
- Leri: A web-server for identifying protein functional networks from evolutionary couplings.Computational and structural biotechnology journal · 2021Article
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4 authors.
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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.
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