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Helical structure motifs made searchable for functional peptide design

Authors :
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
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.603cc6db8f45402691901fbcd8e6ffd4
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-27655-0