Stable Peptide Binding Achieved through an Intrinsically Ordered Spiral Conformation with Ten-Glycine Spacing: Insights from MD Simulation

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.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry B
Published
2025-10-07
DOI
https://doi.org/10.1021/acs.jpcb.5c03253
Citations
1
Primary Topic
Chemical Synthesis and Analysis
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stable Peptide Binding Achieved through an Intrinsically Ordered Spiral Conformation with Ten-Glycine Spacing: Insights from MD Simulation

Bin Tu, Qiaojun Fang, Xiaocui Fang, Chen Wang et al.
1 citations
The Journal of Physical Chemistry B
Chemical Synthesis and Analysis
0.81
article

Stable Peptide Binding Achieved through an Intrinsically Ordered Spiral Conformation with Ten-Glycine Spacing: Insights from MD Simulation

Bin Tu, Qiaojun Fang, Xiaocui Fang, Chen Wang, Haipeng Zhao, Yanlian Yang, Obinna E. Onyemaobi
article en
1 citations

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.

The Journal of Physical Chemistry BVol. 129(41)
Center for NanoScience (DE), Sino-Danish Centre for Education and Research (CN), National Center for Nanoscience and Technology (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 23%
Chemical Synthesis and Analysis
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.