2018
DOI: 10.1038/s41598-018-21952-3
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Recognition motif and mechanism of ripening inhibitory peptides in plant hormone receptor ETR1

Abstract: Synthetic peptides derived from ethylene-insensitive protein 2 (EIN2), a central regulator of ethylene signalling, were recently shown to delay fruit ripening by interrupting protein–protein interactions in the ethylene signalling pathway. Here, we show that the inhibitory peptide NOP-1 binds to the GAF domain of ETR1 – the prototype of the plant ethylene receptor family. Site-directed mutagenesis and computational studies reveal the peptide interaction site and a plausible molecular mechanism for the ripening… Show more

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Cited by 29 publications
(39 citation statements)
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“…The criteria 115 for choosing EHs of the flexibility data set are explained in section 3.1. 116 117 118 Comparative models of the flexibility data set (see section 2.1) were generated using our in-119 house structure prediction meta-tool TopModel (26) that has been successfully applied in 120 previous studies (27)(28)(29)(30). TopModel uses multiple state-of-the-art threading and 121 sequence/structure alignment tools to generate a large ensemble of models from different 122 pairwise and multiple alignments of the top five highest ranked template structures.…”
mentioning
confidence: 99%
“…The criteria 115 for choosing EHs of the flexibility data set are explained in section 3.1. 116 117 118 Comparative models of the flexibility data set (see section 2.1) were generated using our in-119 house structure prediction meta-tool TopModel (26) that has been successfully applied in 120 previous studies (27)(28)(29)(30). TopModel uses multiple state-of-the-art threading and 121 sequence/structure alignment tools to generate a large ensemble of models from different 122 pairwise and multiple alignments of the top five highest ranked template structures.…”
mentioning
confidence: 99%
“…As a template structure, we used the structure of the B. glumae foldase-lipase complex (PDB code 2ES4) (see Materials and Methods section for details). The final model was assessed with our in-house model quality assessment program TopScore 24,25 and found to be 68% correct for LipA and 52% correct for Lif (Fig. 6E).…”
Section: Resultsmentioning
confidence: 99%
“…To detect changes in sLif:LipA rigidity and flexibility upon Y99A mutation in P. aeruginosa Lif, we analyzed an ensemble of snapshots of sLif-bound LipA in terms of a perturbation approach 26 in a similar way as done by Milić et al 25 . In short, first, an ensemble of 7,500 constraint network topologies was generated from MD snapshots of the proteins sampled at 2 ns intervals from the 10 MD simulations of the sLif:LipA complex (see above).…”
Section: Constraint Network Analysis (Cna)mentioning
confidence: 99%
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