Oct 2026· Computational biology and chemistry· Vol 126 Pt 2, pp.
109463
· 0 citations· 45 references
Medicine
Abstract
G-quadruplex-duplex (Q-D) junctions are structurally complex nucleic-acid architectures with emerging relevance as selective ligand-binding targets, yet the dynamic basis of ligand recognition and dissociation at these hybrid interfaces remains insufficiently characterized. Here we have conducted microsecond level equilibrium molecular dynamics replicas per state, together with multiple well-tempered metadynamics simulations, to characterize the structural and energetic features of Phen-DC3 recognition at a Q-D junction. Ligand binding was observed to be associated with a reorganized bound-state architecture that showed reduced global structural displacement despite adopting a more expanded conformation, with the junction region contributing most strongly to this domain-specific rearrangement. Binding promotes junctional opening, with increased geometric separations and angle. Flexibility is redistributed rather than globally reduced: DG9, DG35, DG36, DT10 and DA11 become more mobile, whereas DG14 remains largely unchanged despite high contact occupancy. PCA shows a more distinct and less fragmented bound-state ensemble, with local minima decreasing from 31 to 14, while correlated-motion analysis reveals strengthened DG17-DG35/DG36 coupling and weakened DG7-DG9-associated correlations. Unbinding free-energy profiles along the ligand-active site distance are non-monotonic and contain a second minimum at larger ligand-site separation, corresponding to a partially bound, surface-associated state. Contact analysis along this coordinate indicates progressive loss of peripheral contacts while hydrophobic and van-der-Waals contacts at DG9 and DG14 persist to larger separations. These observations support a working model in which junctional opening, ensemble narrowing, correlated-motion reorganization, and multistep dissociation are coupled features of Q-D junction recognition. Moreover, these findings suggest that future Q-D junction ligands should be designed not only for strong stacking, but also to exploit junctional geometry and secondary interaction sites. Such features may help improve selectivity and overall ligand engagement at Q-D interfaces.
This review discusses how these structural features control G4 recognition and optical signal transduction through terminal G-tetrad stacking, loop and groove contacts, restriction of molecular motion, and aggregate reorganization and considers molecular symmetry as a tunable design variable rather than a direct predic...
Xiao-Ju Si, Qian-Qian Ren, Yue Wang et al.· Analytical Methods· 0 citations
This work demonstrates that ligand recognition of viral GQ remains preserved within protein condensates and establishes fluorescence spectroscopy as a sensitive approach for resolving hidden binding heterogeneity in GQ-ligand interactions.
Susmita Pradhan, S. M. Tripathi, Shubhangi Sharma et al.· Physical Chemistry, Chemical...· 0 citations
Riboswitches are non-coding RNA sequences that control cellular processes through ligand binding. Conformational heterogeneity is fundamental to riboswitch functionality, yet this same attribute makes structural characterization of these mRNA elements challenging. Here, we use cryo-electron microscopy to characterize d...
N. Jespersen, J. D. Prajapati, Ankush Singhal et al.· npj Structural Biology· 1 citation
Riboswitches are dynamic RNA structures that regulate gene expression in response to ligand binding. The guanidine-II riboswitch consists of two hairpin loops, connected by a flexible linker, which can dimerize in the presence of a cognate ligand. Both processes, ligand binding and dimerization, are governed by the fir...
F. Eble, Leon Franke, C. Peter· Journal of Chemical Physics· 0 citations
Biomolecular condensates are multicomponent organelles that orchestrate diverse cellular functions, yet their emergent internal structures remain poorly understood. Here we use the recently developed coarse-grained Martini3-IDP model to perform a molecular dynamics simulation of a multicomponent P-body condensate wit...
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