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Reiterative RNA folding and occupancy rate analysis for mRNA modelling
1Pitman-Moore, Inc., Northbrook, IL 60062.
Computer Applications in the Biosciences : CABIOS
|March 1, 1988
Summary
Computer programs predict RNA secondary structures and monitor site participation. These tools may reveal how messenger RNA structure influences gene expression and protein production.
Area of Science:
- Computational Biology
- Molecular Biology
- Bioinformatics
Background:
- Secondary structures in RNA influence gene expression.
- Predicting RNA secondary structure is crucial for understanding gene regulation.
- Messenger RNA (mRNA) structure plays a role in its expressibility.
Purpose of the Study:
- To introduce novel computer programs for analyzing RNA secondary structures.
- To provide tools for visualizing the dynamic formation of RNA secondary structures.
- To investigate the link between mRNA secondary structure and protein synthesis.
Main Methods:
- Development of algorithms to predict energetically favorable RNA secondary structures in silico.
- Implementation of sequential display features to visualize evolving RNA structures.
- Creation of monitoring functions for intramolecular site participation in secondary structures.
Main Results:
- The developed programs successfully predict optimal secondary structures for nascent RNA sequences.
- Sequential displays offer dynamic insights into RNA folding pathways.
- Monitoring tools track the involvement of specific RNA regions in structural formation.
Conclusions:
- These computational tools offer a novel approach to studying RNA secondary structure.
- The programs can elucidate the complex relationship between mRNA structure and gene expressibility.
- Further research can leverage these tools to understand post-transcriptional gene regulation.