Chameleon-like self-assembling peptides for adaptable biorecognition nanohybrids

Woo Jin Jeong, Sung Ju Choi, Jun Shik Choi, Yong Beom Lim

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

We present here the development of adaptable hybrid materials in which self-assembling peptides can sense the diameter/curvature of carbon nanotubes and then adjust their overall structures from disordered states to α-helices, and vice versa. The peptides within the hybrid materials show exceptionally high thermal-induced conformational stability and molecular recognition capability for target RNA. This study shows that the context-dependent protein-folding effects can be realized in artificial nanosystems and provides a proof of principle that nanohybrid materials decorated with structured and adjustable peptide units can be fabricated using our strategy, from which smart and responsive organic/inorganic hybrid materials capable of sensing and controlling diverse biological molecular recognition events can be developed.

Original languageEnglish
Pages (from-to)6850-6857
Number of pages8
JournalACS Nano
Volume7
Issue number8
DOIs
Publication statusPublished - 2013 Aug 27

Fingerprint

Hybrid materials
assembling
Peptides
peptides
Molecular recognition
Nanosystems
Protein folding
Carbon Nanotubes
RNA
helices
folding
Carbon nanotubes
carbon nanotubes
curvature
proteins

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Engineering(all)
  • Physics and Astronomy(all)

Cite this

Jeong, Woo Jin ; Choi, Sung Ju ; Choi, Jun Shik ; Lim, Yong Beom. / Chameleon-like self-assembling peptides for adaptable biorecognition nanohybrids. In: ACS Nano. 2013 ; Vol. 7, No. 8. pp. 6850-6857.
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Chameleon-like self-assembling peptides for adaptable biorecognition nanohybrids. / Jeong, Woo Jin; Choi, Sung Ju; Choi, Jun Shik; Lim, Yong Beom.

In: ACS Nano, Vol. 7, No. 8, 27.08.2013, p. 6850-6857.

Research output: Contribution to journalArticle

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