Nature Communications (Jan 2022)

Helical structure motifs made searchable for functional peptide design

  • Cheng-Yu Tsai,
  • Emmanuel Oluwatobi Salawu,
  • Hongchun Li,
  • Guan-Yu Lin,
  • Ting-Yu Kuo,
  • Liyin Voon,
  • Adarsh Sharma,
  • Kai-Di Hu,
  • Yi-Yun Cheng,
  • Sobha Sahoo,
  • Lutimba Stuart,
  • Chih-Wei Chen,
  • Yuan-Yu Chang,
  • Yu-Lin Lu,
  • Simai Ke,
  • Christopher Llynard D. Ortiz,
  • Bai-Shan Fang,
  • Chen-Chi Wu,
  • Chung-Yu Lan,
  • Hua-Wen Fu,
  • Lee-Wei Yang

DOI
https://doi.org/10.1038/s41467-021-27655-0
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 14

Abstract

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Here, we present TP-DB; a pattern-based search engine based on 1.67 million helices from the Protein Database (PDB). We demonstrate the utility of TP-DB in identifying microbe-specific antigens, as well as the design of antimicrobial peptides and Protein-protein interaction blockers.