Wiggle—Predicting functionally flexible regions from primary sequence
2006

Wiggle—Predicting Functionally Flexible Regions from Primary Sequence

Sample size: 1277 publication Evidence: moderate

Author Information

Author(s): Gu Jenny, Gribskov Michael, Bourne Philip E

Primary Institution: University of California San Diego

Hypothesis

Can we predict functionally flexible regions in proteins using only their primary sequence?

Conclusion

The study successfully developed predictors that identify functionally flexible regions in proteins based solely on their sequence information.

Supporting Evidence

  • The Wiggle predictors can identify flexible regions that are important for protein function.
  • These predictors were trained on a dataset of 1,277 protein sequences.
  • Functionally flexible regions were defined based on their participation in large amplitude fluctuations.

Takeaway

Proteins can change shape to do their jobs, and this study created tools to find out which parts of a protein can flex just by looking at its building blocks.

Methodology

The study used a coarse-grained protein dynamic modeling approach and support vector machines to identify flexible regions based on protein sequences.

Limitations

The predictors may misclassify flexible regions due to reliance on specific protein conformations.

Digital Object Identifier (DOI)

10.1371/journal.pcbi.0020090

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