ArticleCommunications chemistry2024
Evolution shapes interaction patterns for epistasis and specific protein binding in a two-component signaling system.
Article in Communications chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 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
- Binding Specificity and Local Frustration in Structure-based Drug Discovery.Current medicinal chemistry · 2026Review
- Computational design of class II MHC binding peptide with sequence-based evolution information.Bioinformatics advances · 2026Article
- Bacterial Metallostasis: Metal Sensing, Metalloproteome Remodeling, and Metal Trafficking.Chemical reviews · 2024Review
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Authors and funding
2 authors.
Funding
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Abstract
The elegant design of protein sequence/structure/function relationships arises from the interaction patterns between amino acid positions. A central question is how evolutionary forces shape the interaction patterns that encode long-range epistasis and binding specificity. Here, we combined family-wide evolutionary analysis of natural homologous sequences and structure-oriented evolution simulation for two-component signaling (TCS) system. The magnitude-frequency relationship of coupling conservation between positions manifests a power-law-like distribution and the positions with highly coupling conservation are sparse but distributed intensely on the binding surfaces and hydrophobic core. The structure-specific interaction pattern involves further optimization of local frustrations at or near the binding surface to adapt the binding partner. The construction of family-wide conserved interaction patterns and structure-specific ones demonstrates that binding specificity is modulated by both direct intermolecular interactions and long-range epistasis across the binding complex. Evolution sculpts the interaction patterns via sequence variations at both family-wide and structure-specific levels for TCS system.
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Registered trials
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