Force-driven base recognition programs DNA origami-based supramolecular networks

This study proposes a force-driven recognition strategy that anchors conformationally constrained short loops at DNA origami edges, leveraging entropy compensation to enable large-scale nanostructure assembly. Precise thermoresponsive control across distinct temperature regimes is achieved by modulating nucleobase types and ultraviolet (UV) irradiation.

Authors

Institutions

Publication Details

Journal
Chemical Communications
Published
2025-01-01
DOI
https://doi.org/10.1039/d5cc02754c
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Force-driven base recognition programs DNA origami-based supramolecular networks

Pengyan Hao, Yongxi Zhao, Xiaoya Sun, Yuanyuan Luo et al.
1 links
Chemical Communications
Advanced biosensing and bioanalysis techniques
article

Force-driven base recognition programs DNA origami-based supramolecular networks

Pengyan Hao, Yongxi Zhao, Xiaoya Sun, Yuanyuan Luo, Na Wu, Liqiong Niu
article en

Abstract

This study proposes a force-driven recognition strategy that anchors conformationally constrained short loops at DNA origami edges, leveraging entropy compensation to enable large-scale nanostructure assembly. Precise thermoresponsive control across distinct temperature regimes is achieved by modulating nucleobase types and ultraviolet (UV) irradiation.

Chemical CommunicationsVol. 61(63)
Xi'an Jiaotong University (CN)
Openalex Percentile: Top 86%
Advanced biosensing and bioanalysis techniques
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.