Multiple sequence alignments as tools for protein structure and function prediction
2003
Using Multiple Sequence Alignments to Predict Protein Functions
publication
Evidence: moderate
Author Information
Author(s): Alfonso Valencia
Primary Institution: National Centre for Biotechnology, CNB-CSIC, Madrid, Spain
Hypothesis
Can multiple sequence alignments be used to predict protein-binding specificity and interactions?
Conclusion
The study shows that computational methods based on multiple sequence alignments can effectively predict protein interactions.
Supporting Evidence
- Multiple sequence alignments provide insights into protein evolution and function.
- Tree-determinant residues can modulate protein-binding specificity.
- Neural networks can be trained to predict protein interaction sites.
- Correlated mutations can indicate potential protein-protein interactions.
Takeaway
Scientists are using patterns in protein sequences to guess how proteins work together, like figuring out a puzzle.
Methodology
The study developed computational methods to analyze multiple sequence alignments for predicting protein interactions.
Digital Object Identifier (DOI)
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