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Related Experiment Video

Updated: Jun 10, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

Combinatorial analysis for sequence and spatial motif discovery in short sequence fragments.

Ronald Jackups¹, Jie Liang

¹Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA. rjackups@path.wustl.edu

IEEE/ACM Transactions on Computational Biology and Bioinformatics

|July 31, 2010

Summary

This study introduces a new permutation-based combinatorial model to identify statistically significant sequence and spatial motifs in short protein sequences. The method effectively uncovers novel motifs in beta-barrel membrane proteins, outperforming existing approaches.

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Last Updated: Jun 10, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

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Published on: July 14, 2015

Area of Science:

Proteomics
Bioinformatics
Computational Biology

Background:

Protein motifs, overrepresented sequence or spatial patterns, are crucial for protein stability and function.
Identifying motifs in short sequences (6-20 residues), such as transmembrane domains, is challenging due to limited data.

Purpose of the Study:

To develop a novel computational method for identifying statistically significant sequence and spatial motifs in short protein sequences.
To assess the performance of this new method against existing approaches for motif discovery.

Main Methods:

Development of combinatorial models based on permutation for pattern assessment.
Application of the models to analyze sequence and spatial patterns in beta-barrel membrane proteins.

Main Results:

The proposed method successfully identified previously unknown sequence and spatial motifs in beta-barrel membrane proteins.
The method demonstrated superior performance in detecting statistically significant motifs compared to existing techniques.

Conclusions:

The permutation-based combinatorial model is effective for motif discovery in short protein sequences.
This approach has significant implications for analyzing short sequences across various protein families.