Obinna E. Onyemaobi, , , Haipeng Zhao, , , Bin Tu, , , Xiaocui Fang, , , Chen Wang*, , , Yanlian Yang*, , and , Qiaojun Fang*,
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引用次数: 0
Abstract
Previous experimental studies on position-coded multivalent peptide–peptide interactions demonstrated that introducing two tryptophan residues at varying positions within a 14-mer intrinsically disordered polyglycine (GW) peptide significantly affects its binding affinity and selectivity toward a partner homoglycine (G14) peptide. However, these studies lacked atomistic resolution and were unable to elucidate the structural mechanisms underlying the observed “volcano-like” binding trend. To address this limitation, we performed all-atom molecular dynamics (MD) simulations with enhanced sampling via replica exchange molecular dynamics (REMD) to investigate how tryptophan spacing influences binding behavior. Our results show that peptides with a 10-glycine separation between dual tryptophans (GW10) exhibit the strongest binding affinity to G14, consistent with the experimental data and validating the simulation approach. Notably, GW10 and related arginine and serine variants (GR10 and GS10) adopt stable, intrinsically ordered spiral conformations that form favorable binding pockets for G14. Energy decomposition, hydrogen bonding, and conformational analyses underscore the critical role of these ordered structures in modulating peptide–peptide interactions. These findings provide atomic-level insights into sequence-dependent binding and offer potential applications for peptide design, protein engineering, and the understanding of prelasso motifs relevant to protein folding.
期刊介绍:
An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.