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Related Concept Videos

Protein Organization01:13

Protein Organization

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Updated: Oct 7, 2025

Constructing Thioether/Vinyl Sulfide-tethered Helical Peptides Via Photo-induced Thiol-ene/yne Hydrothiolation
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Helical structure motifs made searchable for functional peptide design.

Cheng-Yu Tsai1,2,3, Emmanuel Oluwatobi Salawu1,4,5, Hongchun Li1,6,7,8

  • 1Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, 300044, Taiwan.

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Summary

A new database, the Therapeutic Peptide Design database (TP-DB), aids in identifying functional peptide motifs. TP-DB facilitates the design of novel therapeutic peptides and diagnostic tools.

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Area of Science:

  • Biotechnology
  • Computational Biology
  • Peptide Science

Background:

  • Designing functional peptides for technological and therapeutic use requires efficient methods to identify sequence motifs.
  • Existing databases have limitations in pattern-based searching of functional motifs irrespective of evolutionary conservation.
  • The Protein Secondary Structure database is outdated, and the Dictionary of Protein Secondary Structure requires tertiary structures for annotation.

Purpose of the Study:

  • To develop a pattern-based search engine for identifying functional motifs in peptide sequences.
  • To create a comprehensive database of helical structures for peptide design applications.
  • To demonstrate the utility of the database in repurposing antibodies, designing antimicrobial peptides, and engineering peptide blockers.

Main Methods:

  • Extraction of 1.7 million helices from the Protein Data Bank (PDB).
  • Compilation of extracted helices into the Therapeutic Peptide Design database (TP-DB).
  • Development of query functionalities for compounded patterns within helical structures.

Main Results:

  • TP-DB enables the identification of a purification-tag-specific antibody for repurposing into a diagnostic kit for Helicobacter pylori.
  • The database facilitated the design of a novel antimicrobial peptide with enhanced Candida albicans clearance and reduced hemolysis compared to homologs.
  • TP-DB provided insights for designing point mutations in helical peptide blockers to inhibit a specific tumorigenic protein-protein interaction.

Conclusions:

  • The Therapeutic Peptide Design database (TP-DB) is a valuable resource for identifying and designing functional peptides.
  • TP-DB supports diverse applications, including diagnostics, antimicrobial peptide development, and protein-protein interaction modulation.
  • The database is accessible online at http://dyn.life.nthu.edu.tw/design/ for broader scientific use.