AnnoLite and AnnoLyze: Tools for Protein Structure Annotation
Author Information
Author(s): Marti-Renom Marc A, Rossi Andrea, Al-Shahrour Fátima, Davis Fred P, Pieper Ursula, Dopazo Joaquín, Sali Andrej
Primary Institution: Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain
Hypothesis
The study aims to provide tools for automatically and comprehensively annotating the function of protein structures.
Conclusion
The AnnoLite and AnnoLyze programs can reliably and automatically annotate new protein structures.
Supporting Evidence
- AnnoLite predicts functional annotations with an average sensitivity of ~90% and precision of ~80%.
- AnnoLyze correctly localizes binding sites for small molecules in ~95% of its predictions.
- The accuracy of AnnoLite was benchmarked with a set of 1,879 nonredundant structural chains.
Takeaway
Scientists created two computer programs that help figure out what proteins do by looking at their shapes. This makes it easier to understand new proteins.
Methodology
The study developed two programs, AnnoLite and AnnoLyze, which use structural alignments to predict functional annotations for protein structures.
Potential Biases
The reliance on existing databases may lead to false positive predictions due to incorrect entries.
Limitations
The accuracy of the programs is limited by errors in annotation databases and the potential sub-optimality of selected structural alignments.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website