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- W3204640131 abstract "Protein-protein interactions (PPIs) have evolved to display binding affinities that can support their function. As such, cognate and noncognate PPIs could be highly similar structurally but exhibit huge differences in binding affinities. To understand this phenomenon, we study three homologous protease-inhibitor PPIs that span 9 orders of magnitude in binding affinity. Using state-of-the-art methodology that combines protein randomization, affinity sorting, deep sequencing, and data normalization, we report quantitative binding landscapes consisting of ΔΔGbind values for the three PPIs, gleaned from tens of thousands of single and double mutations. We show that binding landscapes of the three complexes are strikingly different and depend on the PPI evolutionary optimality. We observe different patterns of couplings between mutations for the three PPIs with negative and positive epistasis appearing most frequently at hot-spot and cold-spot positions, respectively. The evolutionary trends observed here are likely to be universal to other biological complexes in the cell." @default.
- W3204640131 created "2021-10-11" @default.
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- W3204640131 date "2021-10-05" @default.
- W3204640131 modified "2023-10-18" @default.
- W3204640131 title "Climbing Up and Down Binding Landscapes through Deep Mutational Scanning of Three Homologous Protein–Protein Complexes" @default.
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- W3204640131 doi "https://doi.org/10.1021/jacs.1c08707" @default.
- W3204640131 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8532158" @default.
- W3204640131 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34609866" @default.
- W3204640131 hasPublicationYear "2021" @default.
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