Exploration of the Computational Predicted Internal Tagging Preferred Protein Properties

Protein tags are commonly used in many biological experiments, and adding a tag to an intolerant sequence position can significantly damage the functions of a protein and affect the outcome of an experiment. Recently, an in-house computational prediction method, TagScore, was developed which uses sequence homology to identify non-conservative regions of proteins permissive of tagging. The properties of the proteins that are predicted by TagScore to prefer internal tagging were explored using gene enrichment strategies. Proteins that prefer internal tagging were found to be related to GTPase-associated proteins and sequence features with disordered and polar regions, as predicted by TagScore.

Authors

Institutions

Publication Details

Journal
Edinburgh student journal of science.
Published
2024-10-24
DOI
https://doi.org/10.2218/esjs.9999
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploration of the Computational Predicted Internal Tagging Preferred Protein Properties

Lukas Gerasimavicius, Ruoyu Chen
Edinburgh student journal of science.
Advanced Proteomics Techniques and Applications
article

Exploration of the Computational Predicted Internal Tagging Preferred Protein Properties

Lukas Gerasimavicius, Ruoyu Chen
article en

Abstract

Protein tags are commonly used in many biological experiments, and adding a tag to an intolerant sequence position can significantly damage the functions of a protein and affect the outcome of an experiment. Recently, an in-house computational prediction method, TagScore, was developed which uses sequence homology to identify non-conservative regions of proteins permissive of tagging. The properties of the proteins that are predicted by TagScore to prefer internal tagging were explored using gene enrichment strategies. Proteins that prefer internal tagging were found to be related to GTPase-associated proteins and sequence features with disordered and polar regions, as predicted by TagScore.

Edinburgh student journal of science.Vol. 1(2)
Edinburgh Cancer Research (GB), University of Edinburgh (GB)
Openalex Percentile: Top 86%
Advanced Proteomics Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.