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Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
07:55

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

A proposed syntax for Minimotif Semantics, version 1.

Jay Vyas1, Ronald J Nowling, Mark W Maciejewski

  • 1Department of Molecular, Microbial, and Structural Biology, University of Connecticut Health Center, Farmington, CT 06030-3305 USA. jayunit100@gmail.com

BMC Genomics
|August 7, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a standardized syntax for annotating short linear peptide sequences (minimotifs) and their functions. This framework aids in data exchange and analysis, improving our understanding of minimotif-driven molecular interactions.

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Last Updated: Jun 21, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
07:55

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Computational Biology

Background:

  • Short linear peptide sequences, known as minimotifs, are crucial for diverse cellular functions, including protein-protein interactions and post-translational modifications.
  • Standardizing functional annotations for minimotifs is essential for data exchange between bioinformatics resources and for clustering related data.
  • The Minimotif Miner database creators offer a unique perspective on minimotif functions.

Purpose of the Study:

  • To propose and implement a structured syntax for minimotif semantics and functional annotation.
  • To enable facile data exchange and internal clustering of minimotif data.
  • To enhance the understanding of minimotif-driven molecular interactions.

Main Methods:

  • Developed a syntax-based model for minimotif function and sequence definitions.
  • Implemented the model using a relational database management system (RDBMS).
  • Utilized database queries and stored procedures to classify SH3 domain binding minimotifs.

Main Results:

  • A structured syntax for minimotif functional annotation was successfully presented.
  • SH3 domain binding minimotifs were classified into 10 distinct groups, encompassing 700 unique sequences.
  • The implemented syntax normalized minimotif definitions within the MnM database.

Conclusions:

  • The derived minimotif syntax is actively used for normalizing functional and chemical definitions in the MnM database.
  • Analysis of SH3 binding minimotifs revealed unique attributes and frequencies for classifying different binding types.
  • The RDBMS implementation facilitates various analysis protocols, advancing the understanding of minimotif specificity in molecular interactions.