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Updated: May 30, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
Published on: May 31, 2011
A computational method to search for DNA structural motifs in functional genomic elements.
Stephen C J Parker1, Aaron Harlap, Thomas D Tullius
1Bioinformatics Program, Boston University, Boston, MA, USA.
Computational methods now help discover DNA motifs by analyzing sequence and structure. This study introduces a new approach to find DNA structural motifs, identifying one linked to the RLM1 transcription factor in yeast.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- High-throughput DNA sequencing generates vast genomic data, necessitating advanced computational tools for motif discovery.
- Traditional motif discovery algorithms focus on nucleotide sequence, overlooking DNA's structural recognition by proteins.
- Proteins can bind DNA based on its three-dimensional shape, not just its linear sequence.
Purpose of the Study:
- To develop a computational method for predicting local DNA structural profiles.
- To identify common DNA structural motifs within genomic sequences.
- To find a DNA structural motif associated with the transcription factor RLM1 in yeast.
Main Methods:
- Developed a computational method to predict local structural profiles of DNA sequences.
- Searched these profiles for common DNA structural motifs.
- Applied the method to the Saccharomyces cerevisiae genome.
Main Results:
- Successfully predicted local structural profiles for DNA sequences.
- Identified a novel DNA structural motif within the yeast genome.
- This motif is associated with the binding of the transcription factor RLM1.
Conclusions:
- The developed method effectively identifies DNA structural motifs.
- DNA structure plays a role in transcription factor binding, exemplified by RLM1.
- This approach enhances motif discovery by incorporating structural information.

