HUHgle: An Interactive Substrate Design Tool for Covalent Protein-ssDNA Labeling Using HUH-Tags

HUHgle: An Interactive Substrate Design Tool for Covalent Protein-ssDNA Labeling Using HUH-Tags

HUH-tags have emerged as versatile fusion partners that mediate sequence specific protein-ssDNA bioconjugation through a simple and efficient reaction. Here we present HUHgle, a python-based interactive tool for the visualization, design, and optimization of substrates for HUH-tag mediated covalent...

Full description

Saved in:
Bibliographic Details
Published in:ACS synthetic biology Vol. 13; no. 6; pp. 1669 - 1678
Main Authors: Smiley, Adam T., Babilonia-Díaz, Natalia S., Hughes, Aspen J., Lemmex, Andrew C. D., Anderson, Michael J. M., Tompkins, Kassidy J., Gordon, Wendy R.
Format: Journal Article
Language:English
Published: United States American Chemical Society 21-06-2024
Subjects:
DNA, Single-Stranded - chemistry
DNA, Single-Stranded - genetics
DNA, Single-Stranded - metabolism
Proteins - chemistry
Proteins - genetics
Proteins - metabolism
Software
HUH-endonuclease
HUH-tag
DNA-barcoding
Bioconjugation
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:HUH-tags have emerged as versatile fusion partners that mediate sequence specific protein-ssDNA bioconjugation through a simple and efficient reaction. Here we present HUHgle, a python-based interactive tool for the visualization, design, and optimization of substrates for HUH-tag mediated covalent labeling of proteins of interest with ssDNA substrates of interest. HUHgle streamlines design processes by integrating an intuitive plotting interface with a search function capable of predicting and displaying protein-ssDNA bioconjugate formation efficiency and specificity in proposed HUH-tag/ssDNA sequence combinations. Validation demonstrates that HUHgle accurately predicts product formation of HUH-tag mediated bioconjugation for single- and orthogonal-labeling reactions. In order to maximize the accessibility and utility of HUHgle, we have implemented it as a user-friendly Google Colab notebook which facilitates broad use of this tool, regardless of coding expertise.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2161-5063
2161-5063
DOI:10.1021/acssynbio.4c00188