Natively Unstructured Loops Differ from Other Loops
Author Information
Author(s): Avner Schlessinger, Jinfeng Liu, Burkhard Rost
Primary Institution: Columbia University
Hypothesis
Very long contiguous segments with nonregular secondary structure (NORS regions) differ significantly from regular, well-structured loops.
Conclusion
NORSnet successfully distinguished between well-structured and unstructured loops, revealing that unstructured regions are more common in proteins with many interaction partners.
Supporting Evidence
- NORSnet identified unstructured regions in proteins that were previously not annotated.
- NORSnet found unstructured regions more often in domain boundaries than expected at random.
- 50%–70% of all worm proteins with more than seven interaction partners have unstructured regions.
Takeaway
This study created a new method to find parts of proteins that don't have a regular shape, which helps scientists understand how these proteins work better.
Methodology
The study developed a neural network method called NORSnet to predict natively unstructured regions based on sequence data.
Potential Biases
The method may miss some unstructured regions that become structured upon binding to other proteins.
Limitations
NORSnet was not optimized to identify very short unstructured regions (≤30 residues).
Digital Object Identifier (DOI)
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