PRFdb: A database of computationally predicted eukaryotic programmed -1 ribosomal frameshift signals
2008

PRFdb: A Database for Ribosomal Frameshift Signals

publication Evidence: moderate

Author Information

Author(s): Belew Ashton T, Hepler Nicholas L, Jacobs Jonathan L, Dinman Jonathan D

Primary Institution: University of Maryland, College Park, MD, USA

Hypothesis

The PRFdb aims to provide a comprehensive resource for identifying programmed -1 ribosomal frameshift signals in eukaryotic genes.

Conclusion

The PRFdb enables researchers to determine potential -1 PRF signals in genes they are studying and serves as a resource for cross-referencing with other databases.

Supporting Evidence

  • The PRFdb provides a user-friendly interface for researchers.
  • It compiles data from multiple genomes to identify -1 PRF signals.
  • The database allows for searching and filtering of sequences based on specific criteria.

Takeaway

PRFdb is like a library that helps scientists find special signals in genes that can change how proteins are made.

Methodology

Sequences are imported and filtered through algorithms to identify potential -1 PRF signals based on specific structural features.

Limitations

The database may not include all potential recoding signals and relies on computational predictions.

Digital Object Identifier (DOI)

10.1186/1471-2164-9-339

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