Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Decoding Peptide Conformational Ensembles at Gold Interfaces for Sequence-Encoded Bio-Interface Engineering.

Created on 07 Oct 2026

Authors

Jinhua He, Hao Ma, Xiaohan Xi, Haofei Geng, Qingling Zhou, Yaxiang Wang, Sen Yan, Lei Zhang, Jiayi Wang, Mingyu Chen, Enhui Ma, Xiang Wang, Bin Ren

Published in

Small methods. Pages e71094. Oct 06, 2026. Epub Oct 06, 2026.

Abstract

Understanding how biomolecules organize at metal interfaces is of central importance for a wide range of sensing and biointerfacial technologies, yet it is still challenging to decipher their microscopic organization because conventional macroscopic measurements cannot reveal the hidden assembly states of flexible adsorbates. Here, a multiscale analytical strategy integrates electrochemical active surface area (ECSA), gap-mode surface-enhanced Raman spectroscopy (SERS), and ensemble-based all-atom molecular dynamics simulations to connect macroscopic adsorption behavior with microscopic assembly states on gold surfaces. Tyr-Tyr-Tyr (YYY), an extraordinarily adhesive peptide with an unresolved mechanism for its strong interfacial affinity, is used as a model system. The results show that fundamentally distinct microscopic organizations can exhibit nearly identical macroscopic adsorption states. Systematic sequence mutants further reveal that consecutive Tyr residues sustain the hydrogen-bond-driven lateral aggregation, from which Tyr-Phe-Tyr (YFY) emerges as a compact anchoring motif that retains strong gold affinity while suppressing aggregation. Beyond resolving this peptide-gold assembly problem, our work advances an ensemble-based perspective for interpreting interfacial Raman spectra and provides a foundation for programmable bio-interface engineering, with potential applications in biosensing, peptide/protein arrays, and other functional bio-metal platforms.

PMID:
42839667
Bibliographic data and abstract were imported from PubMed on 07 Oct 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 20
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement